Search dblp for Publications

export results for "toc:db/journals/technometrics/technometrics66.bht:"

 download as .bib file

@article{DBLP:journals/technometrics/AnandaSAM24,
  author       = {Vira Ananda and
                  Visi Komala Sari and
                  Anisah and
                  Utriweni Mukhaiyar},
  title        = {Sparse Graphical Modeling for High Dimensional Data: {A} Paradigm
                  of Conditional Independence Tests Sparse Graphical Modeling for High
                  Dimensional Data: {A} Paradigm of Conditional Independence Tests Faming
                  Liang and Bochao Jia, New York: Chapman and Hall/CRC, 2023, 150 pp.,
                  {\textdollar}120.00, {ISBN} 9780429061189: Faming Liang and Bochao
                  Jia, New York: Chapman and Hall/CRC, 2023, 150 pp., {\textdollar}120.00,
                  {ISBN} 9780429061189},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {308--309},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2339785},
  doi          = {10.1080/00401706.2024.2339785},
  timestamp    = {Fri, 17 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/AnandaSAM24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/AstariaPF24,
  author       = {Tri Astaria and
                  Yoppy Wahyu Purnomo and
                  Fery Muhamad Firdaus},
  title        = {Handbook of Statistical Methods for Randomized Controlled Trials,
                  1st ed.Edited by KyungMann Kim, Frank Bretz, Ying Kuen K. Cheung,
                  Lisa V. Hampson, New York: Chapman {\&} Hall, 2023, 654 pp., {\textsterling}47.99
                  (paperback), {ISBN} 9781032009100 Handbook of Statistical Methods
                  for Randomized Controlled Trials, 1st ed. Edited by KyungMann Kim,
                  Frank Bretz, Ying Kuen K. Cheung, Lisa V. Hampson, New York: Chapman
                  {\&} Hall, 2023, 654 pp., {\textsterling}47.99 (paperback), {ISBN}
                  9781032009100},
  journal      = {Technometrics},
  volume       = {66},
  number       = {1},
  pages        = {133--134},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2307310},
  doi          = {10.1080/00401706.2024.2307310},
  timestamp    = {Mon, 01 Apr 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/AstariaPF24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/BaeMZ24,
  author       = {Suk Joo Bae and
                  Byeong Min Mun and
                  Xiaoyan Zhu},
  title        = {A Proportional Intensity Model with Frailty for Missing Recurrent
                  Failure Data},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {253--266},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2277711},
  doi          = {10.1080/00401706.2023.2277711},
  timestamp    = {Fri, 17 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/BaeMZ24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/BarbillonFP24,
  author       = {Pierre Barbillon and
                  Anabel Forte and
                  Rui Paulo},
  title        = {Screening the Discrepancy Function of a Computer Model},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {394--405},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2319138},
  doi          = {10.1080/00401706.2024.2319138},
  timestamp    = {Sun, 06 Oct 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/BarbillonFP24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/ChanPW24,
  author       = {Moses Y.{-}H. Chan and
                  Matthew Plumlee and
                  Stefan M. Wild},
  title        = {Constructing a Simulation Surrogate with Partially Observed Output},
  journal      = {Technometrics},
  volume       = {66},
  number       = {1},
  pages        = {1--13},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2210170},
  doi          = {10.1080/00401706.2023.2210170},
  timestamp    = {Thu, 29 Feb 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/technometrics/ChanPW24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/ChungK24,
  author       = {Seokhyun Chung and
                  Raed Al Kontar},
  title        = {Federated Multi-Output Gaussian Processes},
  journal      = {Technometrics},
  volume       = {66},
  number       = {1},
  pages        = {90--103},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2238834},
  doi          = {10.1080/00401706.2023.2238834},
  timestamp    = {Fri, 22 Mar 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/technometrics/ChungK24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/ChungdinataANZN24,
  author       = {Stephanie Elysia Chungdinata and
                  Andriko and
                  Nathan and
                  Zulfaidil and
                  Maya Nabila},
  title        = {Foundations of Statistical Mechanics Foundations of Statistical Mechanics
                  Roman Frigg and Charlotte Werndl, {UK:} Cambridge University Press,
                  2024, 84 pp., {\textdollar}22.00, {ISBN} 9781009016490: Roman Frigg
                  and Charlotte Werndl, {UK:} Cambridge University Press, 2024, 84 pp.,
                  {\textdollar}22.00, {ISBN} 9781009016490},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {315--316},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2339790},
  doi          = {10.1080/00401706.2024.2339790},
  timestamp    = {Fri, 17 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/ChungdinataANZN24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/DolskiSM24,
  author       = {Tamara Dolski and
                  Elaine T. Spiller and
                  Susan E. Minkoff},
  title        = {Gaussian Process Emulation for High-Dimensional Coupled Systems},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {455--469},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2322651},
  doi          = {10.1080/00401706.2024.2322651},
  timestamp    = {Sun, 08 Sep 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/DolskiSM24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/FanS24,
  author       = {Jingjing Fan and
                  Abhra Sarkar},
  title        = {Bayesian Semiparametric Local Clustering of Multiple Time Series Data},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {282--294},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2288324},
  doi          = {10.1080/00401706.2023.2288324},
  timestamp    = {Fri, 17 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/FanS24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/FangP24,
  author       = {Guan{-}Qi Fang and
                  Rong Pan},
  title        = {A Class of Hierarchical Multivariate Wiener Processes for Modeling
                  Dependent Degradation Data},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {141--156},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2242413},
  doi          = {10.1080/00401706.2023.2242413},
  timestamp    = {Fri, 17 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/FangP24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/GongZOH24,
  author       = {Yan Gong and
                  Peng Zhong and
                  Thomas Opitz and
                  Rapha{\"{e}}l Huser},
  title        = {Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {331--346},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2304334},
  doi          = {10.1080/00401706.2024.2304334},
  timestamp    = {Sun, 06 Oct 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/GongZOH24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/GuhaG24,
  author       = {Sharmistha Guha and
                  Rajarshi Guhaniyogi},
  title        = {Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging
                  Data},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {422--437},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2321930},
  doi          = {10.1080/00401706.2024.2321930},
  timestamp    = {Sun, 08 Sep 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/GuhaG24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/JiMSPB24,
  author       = {Yi Ji and
                  Simon Mak and
                  Derek Soeder and
                  Jean{-}Fran{\c{c}}ois Paquet and
                  Steffen A. Bass},
  title        = {A Graphical Multi-Fidelity Gaussian Process Model, with Application
                  to Emulation of Heavy-Ion Collisions},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {267--281},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2281940},
  doi          = {10.1080/00401706.2023.2281940},
  timestamp    = {Tue, 14 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/JiMSPB24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/JiangG24,
  author       = {Yue Jiang and
                  Ana Mar{\'{\i}}a Estrada G{\'{o}}mez},
  title        = {An Adaptive Sampling Strategy for Real-Time Anomaly Detection with
                  Unmanned Sensing Vehicles},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {438--454},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2322645},
  doi          = {10.1080/00401706.2024.2322645},
  timestamp    = {Sun, 08 Sep 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/JiangG24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/JinYAC24,
  author       = {Jun Jin and
                  Jun Yan and
                  Robert H. Aseltine and
                  Kun Chen},
  title        = {Transfer Learning with Large-Scale Quantile Regression},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {381--393},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2315952},
  doi          = {10.1080/00401706.2024.2315952},
  timestamp    = {Sun, 08 Sep 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/JinYAC24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/KimOC24,
  author       = {Joonpyo Kim and
                  Hee{-}Seok Oh and
                  Haeran Cho},
  title        = {Moving Sum Procedure for Change Point Detection under Piecewise Linearity},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {358--367},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2308202},
  doi          = {10.1080/00401706.2024.2308202},
  timestamp    = {Sun, 08 Sep 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/KimOC24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/KooMK24,
  author       = {Wonmo Koo and
                  Eun{-}Yeol Ma and
                  Heeyoung Kim},
  title        = {Deep Latent Factor Model for Spatio-Temporal Forecasting},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {470--482},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2322661},
  doi          = {10.1080/00401706.2024.2322661},
  timestamp    = {Sun, 06 Oct 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/KooMK24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/LiXCQ24,
  author       = {Wendong Li and
                  Dongdong Xiang and
                  Gongtao Chen and
                  Peihua Qiu},
  title        = {Signal Classification in Large-Scale Multi-Sequence Integrative Analysis
                  Under the {HMM} Dependence},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {182--195},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2257760},
  doi          = {10.1080/00401706.2023.2257760},
  timestamp    = {Fri, 17 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/LiXCQ24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/Lipovetsky24,
  author       = {Stan Lipovetsky},
  title        = {Quantitative Investing: from Theory to Industry Quantitative Investing:
                  from Theory to Industry , Lingjie Ma, Cham, Switzerland: Springer
                  Nature Switzerland AG, 2020, xvii + 455 pp., 35 b/w and 110 color
                  illustrations, {\textdollar}89.99 (pbk), {ISBN} 978-3-030-47204-7:
                  Lingjie Ma, Cham, Switzerland: Springer Nature Switzerland AG, 2020,
                  xvii + 455 pp., 35 b/w and 110 color illustrations, {\textdollar}89.99
                  (pbk), {ISBN} 978-3-030-47204-7},
  journal      = {Technometrics},
  volume       = {66},
  number       = {1},
  pages        = {134--136},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2307311},
  doi          = {10.1080/00401706.2024.2307311},
  timestamp    = {Mon, 26 Feb 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/technometrics/Lipovetsky24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/Lipovetsky24a,
  author       = {Stan Lipovetsky},
  title        = {(Almost) Impossible Integrals, Sums, and Series (Almost) Impossible
                  Integrals, Sums, and Series , Cornel Ioan V{\u{a}}lean, Cham, Switzerland:
                  Springer Nature Switzerland AG, 2019, xxxviii + 539 pp., {\textdollar}69.99
                  (hbk), {ISBN} 978-3-03-002461-1: Cornel Ioan V{\u{a}}lean, Cham, Switzerland:
                  Springer Nature Switzerland AG, 2019, xxxviii + 539 pp., {\textdollar}69.99
                  (hbk), {ISBN} 978-3-03-002461-1},
  journal      = {Technometrics},
  volume       = {66},
  number       = {1},
  pages        = {139},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2307314},
  doi          = {10.1080/00401706.2024.2307314},
  timestamp    = {Mon, 26 Feb 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/technometrics/Lipovetsky24a.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/Lipovetsky24b,
  author       = {Stan Lipovetsky},
  title        = {Essential Mathematics for Engineers and Scientists Essential Mathematics
                  for Engineers and Scientists Thomas J. Pence and Indrek S. Wichman,
                  New York: Cambridge University Press, 2020, xx + 736 pp., {\textdollar}135.00,
                  {ISBN} 978-1-108-42544-5 (hbk): Thomas J. Pence and Indrek S. Wichman,
                  New York: Cambridge University Press, 2020, xx + 736 pp., {\textdollar}135.00,
                  {ISBN} 978-1-108-42544-5 (hbk)},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {311--313},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2339787},
  doi          = {10.1080/00401706.2024.2339787},
  timestamp    = {Tue, 14 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/Lipovetsky24b.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/Lipovetsky24c,
  author       = {Stan Lipovetsky},
  title        = {Quantifying Counterfactual Military History Quantifying Counterfactual
                  Military History Brennen Fagan, Ian Horwood, Niall MacKay, Christopher
                  Price, and A. Jamie Wood, Boca Raton, {FL:} {CRC} Press/Taylor {\&}
                  Francis Group, Chapman {\&} Hall Books, 2024, ix + 228 pp., {\textdollar}
                  74.95 (hbk), {ISBN} 978-1-138-59452-4: Brennen Fagan, Ian Horwood,
                  Niall MacKay, Christopher Price, and A. Jamie Wood, Boca Raton, {FL:}
                  {CRC} Press/Taylor {\&} Francis Group, Chapman {\&} Hall Books,
                  2024, ix + 228 pp., {\textdollar} 74.95 (hbk), {ISBN} 978-1-138-59452-4},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {317--318},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2339791},
  doi          = {10.1080/00401706.2024.2339791},
  timestamp    = {Tue, 14 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/Lipovetsky24c.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/Lipovetsky24d,
  author       = {Stan Lipovetsky},
  title        = {Applied Machine Learning Using mlr3 in RApplied Machine Learning Using
                  mlr3 in R, Edited by Bernd Bischl, Raphael Sonabend, Lars Kotthoff,
                  and Michel Lang, Boca Raton, {FL:} {CRC} Press, Taylor {\&} Francis
                  Group, Chapman and Hall, 2024, xvii + 339 pp., {\textdollar} 79.95
                  (pbk), {ISBN} 978-1-032-50754-5.: Edited by Bernd Bischl, Raphael
                  Sonabend, Lars Kotthoff, and Michel Lang, Boca Raton, {FL:} {CRC}
                  Press, Taylor {\&} Francis Group, Chapman and Hall, 2024, xvii
                  + 339 pp., {\textdollar} 79.95 (pbk), {ISBN} 978-1-032-50754-5},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {484--485},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2374183},
  doi          = {10.1080/00401706.2024.2374183},
  timestamp    = {Mon, 26 Aug 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/Lipovetsky24d.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/Lipovetsky24e,
  author       = {Stan Lipovetsky},
  title        = {Statistical Modeling of Occupant Behavior Statistical Modeling of
                  Occupant Behavior , JanKloppenborg M{\o}ller, Marcel Schweiker, Rune
                  Korsholm Andersen, Burak Gunay, Selin Yilmaz, Verena MarieBarthelmes,
                  and Henrik Madsen, Boca Raton, {FL:} {CRC} Press, Taylor {\&}
                  Francis Group, Chapman and Hall, 2024, xv + 366 pp., 35 b/w illustrations,
                  {\textdollar} 160.00 (hbk), {ISBN} 978-1-032-33460-8.: JanKloppenborg
                  M{\o}ller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay,
                  Selin Yilmaz, Verena MarieBarthelmes, and Henrik Madsen, Boca Raton,
                  {FL:} {CRC} Press, Taylor {\&} Francis Group, Chapman and Hall,
                  2024, xv + 366 pp., 35 b/w illustrations, {\textdollar} 160.00 (hbk),
                  {ISBN} 978-1-032-33460-8},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {487--488},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2374186},
  doi          = {10.1080/00401706.2024.2374186},
  timestamp    = {Mon, 26 Aug 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/Lipovetsky24e.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/Lipovetsky24f,
  author       = {Stan Lipovetsky},
  title        = {The Planetary Atom: {A} Fictional Account of George Adolphus Schott,
                  the Forgotten Physicist The Planetary Atom: {A} Fictional Account
                  of George Adolphus Schott, the Forgotten Physicist , Jean-Patrick
                  Connerade, alias Chaunes. Singapore: World Scientific, 2022, xviii
                  + 227 pp., {\textdollar} 28.00 (pbk), {ISBN} 978-1-80061-014-9.: Jean-Patrick
                  Connerade, alias Chaunes. Singapore: World Scientific, 2022, xviii
                  + 227 pp., {\textdollar} 28.00 (pbk), {ISBN} 978-1-80061-014-9},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {491--493},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2374189},
  doi          = {10.1080/00401706.2024.2374189},
  timestamp    = {Mon, 26 Aug 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/Lipovetsky24f.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/Liu24,
  author       = {Shuangzhe Liu},
  title        = {Backseat Driver: The Role of Data in Great Car Safety Debates Backseat
                  Driver: The Role of Data in Great Car Safety Debates Norma Faris Hubele,
                  New York: Chapman and Hall/CRC, 2022, 200 pages 67 {B/W} illustrations,
                  {\textdollar}88, hardcover, {ISBN} 9780367474072 (hbk); 9780367472306
                  (pbk); 9781003035343 (ebk): Norma Faris Hubele, New York: Chapman
                  and Hall/CRC, 2022, 200 pages 67 {B/W} illustrations, {\textdollar}88,
                  hardcover, {ISBN} 9780367474072 (hbk); 9780367472306 (pbk); 9781003035343
                  (ebk)},
  journal      = {Technometrics},
  volume       = {66},
  number       = {1},
  pages        = {131--132},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2307303},
  doi          = {10.1080/00401706.2024.2307303},
  timestamp    = {Mon, 01 Apr 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/Liu24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/MalaD24,
  author       = {Firdous Ahmad Mala and
                  Shahid Abdullah Dar},
  title        = {Ethics in Information Technology: {A} Practical Guide Ethics in Information
                  Technology: {A} Practical Guide , G. K. Awari and Sarvesh V. Warjurkar,
                  Boca Raton, {FL:} {CRC} Press, 2022, 213 pp., {\textdollar}53.59,
                  {ISBN} 9781032163796: G. K. Awari and Sarvesh V. Warjurkar, Boca Raton,
                  {FL:} {CRC} Press, 2022, 213 pp., {\textdollar}53.59, {ISBN} 9781032163796},
  journal      = {Technometrics},
  volume       = {66},
  number       = {1},
  pages        = {132--133},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2307305},
  doi          = {10.1080/00401706.2024.2307305},
  timestamp    = {Mon, 01 Apr 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/MalaD24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/MalaM24,
  author       = {Firdous Ahmad Mala and
                  Snowbar Majeed},
  title        = {Hands-On Data Science for Librarians Hands-On Data Science for Librarians
                  Sarah Lin and Dorris Scott, Boca Raton, {FL:} {CRC} Press, 2023, 200
                  pp., {\textdollar}69.95, {ISBN:} 9781003218012: Sarah Lin and Dorris
                  Scott, Boca Raton, {FL:} {CRC} Press, 2023, 200 pp., {\textdollar}69.95,
                  {ISBN:} 9781003218012},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {314--315},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2339789},
  doi          = {10.1080/00401706.2024.2339789},
  timestamp    = {Fri, 17 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/MalaM24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/MalinovskayaMO24,
  author       = {Anna Malinovskaya and
                  Pavlo Mozharovskyi and
                  Philipp Otto},
  title        = {Statistical Process Monitoring of Artificial Neural Networks},
  journal      = {Technometrics},
  volume       = {66},
  number       = {1},
  pages        = {104--117},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2239886},
  doi          = {10.1080/00401706.2023.2239886},
  timestamp    = {Mon, 01 Apr 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/MalinovskayaMO24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/MeeL24,
  author       = {Robert W. Mee and
                  Hui Li},
  title        = {Inference for the Optimum Using Linear Regression Models with Discrete
                  Inputs},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {172--181},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2252476},
  doi          = {10.1080/00401706.2023.2252476},
  timestamp    = {Fri, 17 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/MeeL24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/NadiSS24,
  author       = {Adel Ahmadi Nadi and
                  Stefan H. Steiner and
                  Nathaniel T. Stevens},
  title        = {Assessing Measurement System Agreement in the Presence of Reproducibility
                  and Repeatability},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {319--330},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2296465},
  doi          = {10.1080/00401706.2023.2296465},
  timestamp    = {Sun, 08 Sep 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/NadiSS24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/Ndolo24,
  author       = {Antony Ndolo},
  title        = {Smart Grid and Enabling Technologies Smart Grid and Enabling Technologies
                  Shady S. Refaat, Omar Ellabban, Sertac Bayhan, Haitham Abu-Rub, Dr.
                  Frede Blaabjerg, Miroslav M. Begovic, and Hoboken, {NJ:} Wiley-IEEE
                  Press, 2021, 512 pp, {\textdollar}140.00, {ISBN} 978-1-119-42231-0:
                  Shady S. Refaat, Omar Ellabban, Sertac Bayhan, Haitham Abu-Rub, Dr.
                  Frede Blaabjerg, Miroslav M. Begovic, and Hoboken, {NJ:} Wiley-IEEE
                  Press, 2021, 512 pp, {\textdollar}140.00, {ISBN} 978-1-119-42231-0},
  journal      = {Technometrics},
  volume       = {66},
  number       = {1},
  pages        = {137--139},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2307313},
  doi          = {10.1080/00401706.2024.2307313},
  timestamp    = {Mon, 01 Apr 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/Ndolo24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/Olive24,
  author       = {David J. Olive},
  title        = {A Course in the Large Sample Theory of Statistical InferenceA Course
                  in the Large Sample Theory of Statistical Inference, W. J. Hall and
                  D. Oakes, Boca Raton, {FL:} Chapman and Hall, {CRC} Press, 2024, x
                  + 310 pp., {\textdollar}115.00, {ISBN} 978-0429160080.: W. J. Hall
                  and D. Oakes, Boca Raton, {FL:} Chapman and Hall, {CRC} Press, 2024,
                  x + 310 pp., {\textdollar}115.00, {ISBN} 978-0429160080},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {483--484},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2374182},
  doi          = {10.1080/00401706.2024.2374182},
  timestamp    = {Sun, 08 Sep 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/Olive24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/OsthusWBMSZJR24,
  author       = {Dave Osthus and
                  Brian P. Weaver and
                  Lauren J. Beesley and
                  Kelly R. Moran and
                  Madeline A. Stricklin and
                  Eric J. Zirnstein and
                  Paul H. Janzen and
                  Daniel B. Reisenfeld},
  title        = {Towards Improved Heliosphere Sky Map Estimation with Theseus},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {208--226},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2271017},
  doi          = {10.1080/00401706.2023.2271017},
  timestamp    = {Sat, 08 Jun 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/OsthusWBMSZJR24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/PangemananTIS24,
  author       = {Giano Excelsis Pangemanan and
                  Tamalia and
                  Hesti Indriani and
                  Suprianto},
  title        = {Mathematical Modeling and Soft Computing in Epidemiology Mathematical
                  Modeling and Soft Computing in Epidemiology , Edited by Jyoti Mishra,
                  Ritu Agarwal, and Abdon Atangana, 1st ed., Boca Raton, {FL:} {CRC}
                  Press, 2021, 440 pp., {\textsterling}120.00 (hbk), {ISBN} 9780367903053:
                  Edited by Jyoti Mishra, Ritu Agarwal, and Abdon Atangana, 1st ed.,
                  Boca Raton, {FL:} {CRC} Press, 2021, 440 pp., {\textsterling}120.00
                  (hbk), {ISBN} 9780367903053},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {306--307},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2339784},
  doi          = {10.1080/00401706.2024.2339784},
  timestamp    = {Sun, 06 Oct 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/PangemananTIS24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/PuyRS24,
  author       = {Arnald Puy and
                  Pamphile T. Roy and
                  Andrea Saltelli},
  title        = {Discrepancy Measures for Global Sensitivity Analysis},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {347--357},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2304341},
  doi          = {10.1080/00401706.2024.2304341},
  timestamp    = {Sun, 06 Oct 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/PuyRS24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/RahmansyahHWP24,
  author       = {Egi Rahmansyah and
                  Nur Hidayah and
                  Megawati Zein Waliulu and
                  Hawinda Restu Putri},
  title        = {Data Science and Machine Learning for Non-Programmers Using {SAS}
                  Enterprise Miner, 1st ed. Data Science and Machine Learning for Non-Programmers
                  Using {SAS} Enterprise Miner, 1st ed. , Dothang Truong, {CRC} Press
                  Taylor {\&} Francis Group, 2024. {IX} + 565 pages, {\textsterling}59,99
                  (hbk) {ISBN:} 978-0-367-75538-6 (hbk). Boca Raton and Abingdon. Scope:
                  Textbook. Level: Students, lecturers, researchers, and industry professionals
                  from various backgrounds.: Dothang Truong, {CRC} Press Taylor {\&}
                  Francis Group, 2024. {IX} + 565 pages, {\textsterling}59,99 (hbk)
                  {ISBN:} 978-0-367-75538-6 (hbk). Boca Raton and Abingdon. Scope: Textbook.
                  Level: Students, lecturers, researchers, and industry professionals
                  from various backgrounds},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {493--494},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2374190},
  doi          = {10.1080/00401706.2024.2374190},
  timestamp    = {Mon, 26 Aug 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/RahmansyahHWP24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/RougierD24,
  author       = {Jonathan Rougier and
                  Andrew Duncan},
  title        = {Bayesian Modeling and Inference for One-Shot Experiments},
  journal      = {Technometrics},
  volume       = {66},
  number       = {1},
  pages        = {55--64},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2224524},
  doi          = {10.1080/00401706.2023.2224524},
  timestamp    = {Fri, 22 Mar 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/technometrics/RougierD24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/SaputraHKB24,
  author       = {Eduwin Saputra and
                  Taufik Hidayat and
                  Fajri Khatami and
                  Muh. Rizal B},
  title        = {Data Analytics for Process Engineers; Prediction, Control, and Optimization
                  Data Analytics for Process Engineers; Prediction, Control, and Optimization
                  Daniela Galatro and Stephen Dawe, Cham: Springer, 2024, 145 pp., {\mbox{\texteuro}}32.09
                  (eBook), {ISBN:} 978-3-031-46866-7: Daniela Galatro and Stephen Dawe,
                  Cham: Springer, 2024, 145 pp., {\mbox{\texteuro}}32.09 (eBook), {ISBN:}
                  978-3-031-46866-7},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {313--314},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2339788},
  doi          = {10.1080/00401706.2024.2339788},
  timestamp    = {Fri, 17 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/SaputraHKB24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/SukardiL24,
  author       = {Sukardi and
                  Puji Lestari},
  title        = {Statistical Inference Based on Kernel Distribution Function EstimatorsStatistical
                  Inference Based on Kernel Distribution Function Estimators, Rizky
                  Reza Fauzi and Yoshihiko Maesono, Singapore: Springer Nature Singapore
                  Pte Ltd, 2023, 103 pp., {\textdollar}39.99, {ISBN} 9789819918621.:
                  Rizky Reza Fauzi and Yoshihiko Maesono, Singapore: Springer Nature
                  Singapore Pte Ltd, 2023, 103 pp., {\textdollar}39.99, {ISBN} 9789819918621},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {485--487},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2374184},
  doi          = {10.1080/00401706.2024.2374184},
  timestamp    = {Sun, 08 Sep 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/SukardiL24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/SungWDW24,
  author       = {Chih{-}Li Sung and
                  Wenjia Wang and
                  Liang Ding and
                  Xingjian Wang},
  title        = {Mesh-Clustered Gaussian Process Emulator for Partial Differential
                  Equation Boundary Value Problems},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {406--421},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2320211},
  doi          = {10.1080/00401706.2024.2320211},
  timestamp    = {Sun, 08 Sep 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/SungWDW24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/SurerPW24,
  author       = {{\"{O}}zge S{\"{u}}rer and
                  Matthew Plumlee and
                  Stefan M. Wild},
  title        = {Sequential Bayesian Experimental Design for Calibration of Expensive
                  Simulation Models},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {157--171},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2246157},
  doi          = {10.1080/00401706.2023.2246157},
  timestamp    = {Fri, 31 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/SurerPW24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/Trianto24,
  author       = {Manap Trianto},
  title        = {Computational and Analytic Methods in Biological Sciences, 1st ed.
                  Computational and Analytic Methods in Biological Sciences, 1st ed.
                  , Edited by Akshara Makrariya, Brajesh Kumar Jha, Rabia Musheer, Anant
                  Kant Shukla, Amrita Jha, Parvaiz Ahmad Naik, Denmark, {FL:} River
                  Publishers Series in Biomedical Engineering, 2023, 324 pp., {\textsterling}99.99,
                  {ISBN:} 9788770226950.: Edited by Akshara Makrariya, Brajesh Kumar
                  Jha, Rabia Musheer, Anant Kant Shukla, Amrita Jha, Parvaiz Ahmad Naik,
                  Denmark, {FL:} River Publishers Series in Biomedical Engineering,
                  2023, 324 pp., {\textsterling}99.99, {ISBN:} 9788770226950},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {489--490},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2374187},
  doi          = {10.1080/00401706.2024.2374187},
  timestamp    = {Sun, 08 Sep 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/Trianto24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/VakayilJ24,
  author       = {Akhil Vakayil and
                  V. Roshan Joseph},
  title        = {A Global-Local Approximation Framework for Large-Scale Gaussian Process
                  Modeling},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {295--305},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2296451},
  doi          = {10.1080/00401706.2023.2296451},
  timestamp    = {Tue, 14 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/VakayilJ24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/WangGKJ24,
  author       = {Shangkun Wang and
                  Adam P. Generale and
                  Surya R. Kalidindi and
                  V. Roshan Joseph},
  title        = {Sequential Designs for Filling Output Spaces},
  journal      = {Technometrics},
  volume       = {66},
  number       = {1},
  pages        = {65--76},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2231042},
  doi          = {10.1080/00401706.2023.2231042},
  timestamp    = {Mon, 26 Feb 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/technometrics/WangGKJ24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/WuW0024,
  author       = {Tong Wu and
                  Yudong Wang and
                  Zhi{-}Sheng Ye and
                  Nan Chen},
  title        = {Spatio-Temporal Analysis and Prediction of Mass Telecommunication
                  Base Station Failure Events},
  journal      = {Technometrics},
  volume       = {66},
  number       = {1},
  pages        = {77--89},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2231491},
  doi          = {10.1080/00401706.2023.2231491},
  timestamp    = {Mon, 26 Feb 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/technometrics/WuW0024.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/XieQ24,
  author       = {Xiulin Xie and
                  Peihua Qiu},
  title        = {A General Framework for Robust Monitoring of Multivariate Correlated
                  Processes},
  journal      = {Technometrics},
  volume       = {66},
  number       = {1},
  pages        = {40--54},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2224411},
  doi          = {10.1080/00401706.2023.2224411},
  timestamp    = {Fri, 22 Mar 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/technometrics/XieQ24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/Yang24,
  author       = {Jiannan Yang},
  title        = {Decision-Oriented Two-Parameter Fisher Information Sensitivity Using
                  Symplectic Decomposition},
  journal      = {Technometrics},
  volume       = {66},
  number       = {1},
  pages        = {28--39},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2216251},
  doi          = {10.1080/00401706.2023.2216251},
  timestamp    = {Mon, 01 Apr 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/Yang24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/YannottySFP24,
  author       = {John C. Yannotty and
                  Thomas J. Santner and
                  Richard J. Furnstahl and
                  Matthew T. Pratola},
  title        = {Model Mixing Using Bayesian Additive Regression Trees},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {196--207},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2257765},
  doi          = {10.1080/00401706.2023.2257765},
  timestamp    = {Sat, 08 Jun 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/YannottySFP24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/YeCT024,
  author       = {Xin Ye and
                  Jiaxiang Cai and
                  Loon Ching Tang and
                  Zhi{-}Sheng Ye},
  title        = {Statistical Modeling of the Effectiveness of Preventive Maintenance
                  for Repairable Systems},
  journal      = {Technometrics},
  volume       = {66},
  number       = {1},
  pages        = {118--130},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2241523},
  doi          = {10.1080/00401706.2023.2241523},
  timestamp    = {Sun, 06 Oct 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/YeCT024.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/ZhangMPS24,
  author       = {Zihan Zhang and
                  Shancong Mou and
                  Kamran Paynabar and
                  Jianjun Shi},
  title        = {Tensor-Based Temporal Control for Partially Observed High-Dimensional
                  Streaming Data},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {227--239},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2271060},
  doi          = {10.1080/00401706.2023.2271060},
  timestamp    = {Fri, 17 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/ZhangMPS24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/ZhangSD24,
  author       = {Maoyu Zhang and
                  Yan Song and
                  Wenlin Dai},
  title        = {Fast Robust Location and Scatter Estimation: {A} Depth-based Method},
  journal      = {Technometrics},
  volume       = {66},
  number       = {1},
  pages        = {14--27},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2216246},
  doi          = {10.1080/00401706.2023.2216246},
  timestamp    = {Sun, 06 Oct 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/ZhangSD24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/ZhaoX24,
  author       = {Jiangyan Zhao and
                  Jin Xu},
  title        = {Bayesian Optimization via Exact Penalty},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {368--380},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2315937},
  doi          = {10.1080/00401706.2024.2315937},
  timestamp    = {Sun, 06 Oct 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/ZhaoX24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/ZhouYZZ24,
  author       = {Zheng Zhou and
                  Zebin Yang and
                  Aijun Zhang and
                  Yong{-}Dao Zhou},
  title        = {Efficient Model-Free Subsampling Method for Massive Data},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {240--252},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2023.2271091},
  doi          = {10.1080/00401706.2023.2271091},
  timestamp    = {Sun, 06 Oct 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/ZhouYZZ24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/ZulfaidilGAR24,
  author       = {Zulfaidil and
                  Utari Akhir Gusti and
                  Waliyyatu Azzahra and
                  Gantina Rachmaputri},
  title        = {The Science of Hockey: The Math, Technology, and Data Behind the Sport
                  The Science of Hockey: The Math, Technology, and Data Behind the Sport
                  Edited by Kevin Snow, Foreword by John Vogl, New York, {NY:} Sports
                  Publishing, 2023, 224 pp., {\textdollar}19.99 (ppb), {ISBN} 9781683584667:
                  Edited by Kevin Snow, Foreword by John Vogl, New York, {NY:} Sports
                  Publishing, 2023, 224 pp., {\textdollar}19.99 (ppb), {ISBN} 9781683584667},
  journal      = {Technometrics},
  volume       = {66},
  number       = {1},
  pages        = {136--137},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2307312},
  doi          = {10.1080/00401706.2024.2307312},
  timestamp    = {Mon, 01 Apr 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/ZulfaidilGAR24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/ZulfaidilIUPD24,
  author       = {Zulfaidil and
                  La Ode Muhamad Iqbal and
                  Riani Utami and
                  Sri Redjeki Pudjaprasetya and
                  Warsoma Djohan},
  title        = {Molecular Networking Statistical Mechanics in the Age of {AI} and
                  Machine Learning Molecular Networking Statistical Mechanics in the
                  Age of {AI} and Machine Learning , Edited by Caroline Desgranges and
                  Jerome Delhommelle, Boca Raton, {CRC} Press, 2024, 248 pp., {\textsterling}
                  110.00, {ISBN} 9780367438937.: Edited by Caroline Desgranges and Jerome
                  Delhommelle, Boca Raton, {CRC} Press, 2024, 248 pp., {\textsterling}
                  110.00, {ISBN} 9780367438937},
  journal      = {Technometrics},
  volume       = {66},
  number       = {3},
  pages        = {490--491},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2374188},
  doi          = {10.1080/00401706.2024.2374188},
  timestamp    = {Sun, 08 Sep 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/ZulfaidilIUPD24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/technometrics/ZulfaidilRBSPD24,
  author       = {Zulfaidil and
                  Dewi Syitra Rumadaul and
                  Esther Yolandyne Bunga and
                  Safril and
                  Sri Redjeki Pudjaprasetya and
                  Warsoma Djohan},
  title        = {Statistical Methods in Health Disparity Research Statistical Methods
                  in Health Disparity Research Edited by J. Sunil Rao, Boca Raton, {CRC}
                  Press, 2023, 298 pp., {\textsterling}120.00, {ISBN} 9780367635121:
                  Edited by J. Sunil Rao, Boca Raton, {CRC} Press, 2023, 298 pp., {\textsterling}120.00,
                  {ISBN} 9780367635121},
  journal      = {Technometrics},
  volume       = {66},
  number       = {2},
  pages        = {309--311},
  year         = {2024},
  url          = {https://doi.org/10.1080/00401706.2024.2339786},
  doi          = {10.1080/00401706.2024.2339786},
  timestamp    = {Fri, 17 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/technometrics/ZulfaidilRBSPD24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}