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ORCIDTechnometrics, Volume 64
Volume 64, Number 1, January 2022
- Bo Shen
, Rongxuan Wang, Andrew Chung Chee Law, Rakesh Kamath, Hahn Choo, Zhenyu James Kong:
Super Resolution for Multi-Sources Image Stream Data Using Smooth and Sparse Tensor Completion and Its Applications in Data Acquisition of Additive Manufacturing. 2-17
- Seokho Lee, Hyelim Jung:
Individual Transition Label Noise Logistic Regression in Binary Classification for Incorrectly Labeled Data. 18-29 - Martin Lysy, Feiyu Zhu, Bryan Yates, Aleksander Labuda:
Robust and Efficient Parametric Spectral Density Estimation for High-Throughput Data. 30-51 - Guan Yu, Haoda Fu, Yufeng Liu:
High-Dimensional Cost-constrained Regression Via Nonconvex Optimization. 52-64 - Pulong Ma, Anirban Mondal, Bledar A. Konomi, Jonathan Hobbs, Joon Jin Song, Emily Lei Kang:
Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments. 65-79 - Clement Gauchy, Jérôme Stenger, Roman Sueur, Bertrand Iooss:
An Information Geometry Approach to Robustness Analysis for the Uncertainty Quantification of Computer Codes. 80-91 - Abhinav Prakash, Rui Tuo, Yu Ding:
Gaussian Process-Aided Function Comparison Using Noisy Scattered Data. 92-102 - Matthew J. Miller, Matthew J. Cabral, Elizabeth C. Dickey, James M. LeBeau, Brian J. Reich:
Accounting for Location Measurement Error in Imaging Data With Application to Atomic Resolution Images of Crystalline Materials. 103-113 - Matthew F. Dixon:
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks. 114-124 - Colin Lewis-Beck, Qinglong Tian, William Q. Meeker:
Prediction of Future Failures for Heterogeneous Reliability Field Data. 125-138 - Stan Lipovetsky:
Analyzing Spatial Models of Choice and Judgment, Second Edition: by David A. Armstrong II, Ryan Bakker, Royce Carroll, Christopher Hare, Keith T. Poole, and Howard Rosenthal. CRC Press. Taylor & Francis Group, Chapman and Hall, Boca Raton, FL, 2021, ISBN 978-1-138-71533-2, 320 pp., $63.96 (hbk). 139-143 - Stan Lipovetsky:
Handbook of Regression Modeling in People Analytics: With Examples in R and Python, . 143-145 - E. Heckler Charles:
Semiparametric Regression with R: by Jaroslaw Harezlak, David Ruppert, and Matt P. Wand. Springer, 2018, ISBN: 978-1-4939-8853-2, xi + 331 pp., eBook, $87.20. 145 - Stan Lipovetsky:
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data: 3rd Edition, by Bruce Ratner. Chapman and Hall/CRC, Taylor & Francis Group, Boca Raton, FL, 2020; ISBN 978-0-367-57360-7; xxxiii + 655 pp., $54.95 (pbk). 145-148 - Li-Pang Chen:
The ESD Control Program Handbook: by Jeremy M. Smallwood. Wiley-IEEE Press, 538 pp., USD $140.00 (hbk). ISBN 9781118311035 2020. 148-149 - Stan Lipovetsky:
Probability, Choice, and Reason: by Leighton Vaughan Williams. CRC Press/Chapman and Hall, Taylor & Francis Group, Boca Raton, FL, 2022, ISBN 978-0-367-53891-0, xviii + 292 pp., $66.95 (pbk). 149-150
Volume 64, Number 2, April 2022
- Jakob Raymaekers, Peter J. Rousseeuw, Mia Hubert:
Class Maps for Visualizing Classification Results. 151-165 - V. Roshan Joseph, Akhil Vakayil:
SPlit: An Optimal Method for Data Splitting. 166-176 - Huaqing Jin, Guosheng Yin, Binhang Yuan, Fei Jiang:
Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences. 177-186 - Ben Seiyon Lee, Murali Haran:
PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models. 187-198 - Rémi Stroh, Julien Bect, Séverine Demeyer, Nicolas Fischer, Damien Marquis, Emmanuel Vázquez:
Sequential Design of Multi-Fidelity Computer Experiments: Maximizing the Rate of Stepwise Uncertainty Reduction. 199-209 - Hui Wu, Chen Zhang, Yan-Fu Li:
Monitoring Heterogeneous Multivariate Profiles Based on Heterogeneous Graphical Model. 210-223 - Rene Gutierrez, Rajarshi Guhaniyogi:
Bayesian Dynamic Feature Partitioning in High-Dimensional Regression With Big Data. 224-240 - Wesley Lee, Tyler H. McCormick, Joshua Neil, Cole Sodja, Yanran Cui:
Anomaly Detection in Large-Scale Networks With Latent Space Models. 241-252 - Ana María Estrada Gómez, Dan Li, Kamran Paynabar:
An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data. 253-269 - Stan Lipovetsky:
Manhattan Project: The Story of the Century, by Bruce Cameron Reed. Springer Nature Switzerland AG, 2020, : Cham, Switzerland. ISBN 978-3-030-45733-4, xiv + 553 pp., 127 b/w and 25 color illustrations, $49.99 (hbk). 270-278
Volume 64, Number 3, July 2022
- Christoph Striegel, Jonas Biehler, Wolfgang A. Wall, Göran Kauermann:
A Multifidelity Function-on-Function Model Applied to an Abdominal Aortic Aneurysm. 279-290 - Boxiang Wang, Hui Zou:
Fast and Exact Leave-One-Out Analysis of Large-Margin Classifiers. 291-298 - Zhaohui Li, Matthias Hwai Yong Tan:
A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input. 299-311 - Guanghui Wang, Changliang Zou, Peihua Qiu:
Data-Driven Determination of the Number of Jumps in Regression Curves. 312-322 - Dongdong Xiang, Peihua Qiu, Dezhi Wang, Wendong Li:
Reliable Post-Signal Fault Diagnosis for Correlated High-Dimensional Data Streams. 323-334 - Fei Ding, Shiyuan He, David E. Jones, Jianhua Z. Huang:
Functional PCA With Covariate-Dependent Mean and Covariance Structure. 335-345 - Francesco Sanna Passino, Nicholas A. Heard, Patrick Rubin-Delanchy:
Spectral Clustering on Spherical Coordinates Under the Degree-Corrected Stochastic Blockmodel. 346-357 - Qiong Zhang, Lulu Kang:
Locally Optimal Design for A/B Tests in the Presence of Covariates and Network Dependence. 358-369 - Chris J. Oates, Wilfrid S. Kendall, Liam Fleming:
A Statistical Approach to Surface Metrology for 3D-Printed Stainless Steel. 370-383 - Andi Wang, Juan Du, Xi Zhang, Jianjun Shi:
Ranking Features to Promote Diversity: An Approach Based on Sparse Distance Correlation. 384-395 - Yunlu Chen, Nan Zhang:
Density Regression with Conditional Support Points. 396-408 - Juan Du, Shanshan Cao, Jeffrey H. Hunt, Xiaoming Huo, Jianjun Shi:
A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly. 409-418 - Stan Lipovetsky:
Applied Regularization Methods for the Social Sciences: by Holmes Finch, Boca Raton, FL, CRC/Chapman & Hall, Taylor & Francis Group, 2022, 305 pp., 77 b/w ill., $89.95 (hbk), ISBN 978-0-367-40878-7. 419-421 - Stan Lipovetsky:
Behavior Analysis with Machine Learning Using R, : by Enrique Garcia Ceja, Boca Raton, FL, CRC Press, Taylor & Francis Group, 2022, xxxiii + 397 pp., 96 color & 88 b/w illustrations, $79.96, ISBN 978-1-032-06704-9. 421-423 - Stan Lipovetsky:
Explanatory Model Analysis: Explore, Explain and Examine Predictive Models, : by Przemyslaw Biecek, Tomasz Burzykowski, Boca Raton, FL, Chapman and Hall/CRC, Taylor & Francis Group, 2021, xiii + 311 pp., $79.96 (hbk), ISBN 978-0-367-13559-1. 423-424 - Daniel Zelterman:
Handbook of Statistical Methods for Randomized Controlled Clinical Trials: by Kyung Mann Kim, Frand Bretz, Ying Kuen Cheung, and Lisa V Hampson, eds., Boca Raton, FL, CRC/Chapman & Hall, 2022, 620 pp., $185.15, ISBN 978-1-498-71462-4. 424-425 - Stan Lipovetsky:
Math and Art: An Introduction to Visual Mathematics, 2nd ed., : by Sasho Kalajdzievski, Boca Raton, FL, Chapman and Hall/CRC Press, Taylor & Francis Group, 2022, 398 pp., $55.96 (pbk), ISBN 9780367076115. 425-426 - Stan Lipovetsky:
Measurement Models for Psychological Attributes: by Klaas Sijtsma, and Andries L. van der Ark, Boca Raton, FL, CRC Press, Taylor & Francis Group, Chapman and Hall, 2020, 428 pp., 50 b/w illustrations, $79.95 (pbk), ISBN 978-0-367-42452-7. 426-429 - Kohma Arai, Vyacheslav Lyubchich:
Modern Data Science with R (2nd ed.): by Benjamin S. Baumer, Daniel T. Kaplan, and Nicholas J. Horton, Boca Raton, FL: Chapman and Hall/CRC Press, 2021, 650 pp., $99.95 (Hardback), ISBN: 978-0-36-719149-8. 429 - Stan Lipovetsky:
Book Review: Multivariate Data Integration Using R: Methods and Applications with the mixOmics Package, by Kim-Ahn Lê Cao and Zoe Welham, Boca Raton, FL, CRC/CRC Press, Chapman and Hall, Taylor & Francis Group, 2022, xxi + 308 pp., 121 color illustrations, $79.96 (hbk), ISBN 9780367460945. 429-431 - Firdous Ahmad Mala:
Statistical Universals of Language: Mathematical Chance vs. Human Choice: by Kumiko Tanaka-Ishii, Springer, Switzerland, 2021, 236 pp., EUR 89.99 (hardback), EUR 76.99 (eBook), ISBN: 978-3-030-59376-6. 432-433
Volume 64, Number 4, October 2022
- Xinyu Zhao, Jiuyun Hu, Yajun Mei, Hao Yan:
Adaptive Partially Observed Sequential Change Detection and Isolation. 502-512 - Akira Horiguchi, Thomas J. Santner, Ying Sun, Matthew T. Pratola:
Using BART to Perform Pareto Optimization and Quantify its Uncertainties. 564-574 - Stan Lipovetsky:
Mathematical Modeling: Models, Analysis and Applications, 2nd Edition: by Sandip Banerjee, Boka Raton, FL: Chapman and Hall/CRC Press, Taylor & Francis Group, 2022, 433 pp., $130.00 (hbk), ISBN 978-1-138-49594-4. 580-581 - Stan Lipovetsky:
Adventures in Recreational Mathematics, Vol. 2, ISBN 978-981-122-651-9. 576-578 - Anh Tuan Bui, Daniel W. Apley:
Analyzing Nonparametric Part-to-Part Variation in Surface Point Cloud Data. 457-474 - Jiangeng Huang, Robert B. Gramacy:
Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates. 548-563 - Firdous Ahmad Mala:
All the Math You'll Ever Need: A Self-Teaching Guide (3rd Edition): by Carolyn C. Wheater and Steve Slavin, USA: Jossey-Bass, 2022, 336 pp., $25.00 (PBK), ISBN: 9781119719182. 579-580 - Matthew T. Pratola:
Editorial: Special Issue on Industry 4.0. 435-436 - Michael J. Grosskopf, Kary L. Myers, Earl Lawrence, Derek Bingham:
Temporal Characterization and Filtering of Sensor Data to Support Anomaly Detection. 475-486 - David J. Olive:
Stochastic Processes with R: An Introduction: by O. Korosteleva, Boca Raton, FL: Chapman and Hall, CRC Press, 2022, x + 190 pp., $99.95, ISBN 978-1032153735. 579 - Simon Mak, Yuanshuo Zhao, Lavonne Hoang, C. F. Jeff Wu:
TSEC: A Framework for Online Experimentation under Experimental Constraints. 513-523 - Riccardo Scimone, Tommaso Taormina, Bianca Maria Colosimo, Marco Grasso, Alessandra Menafoglio, Piercesare Secchi:
Statistical Modeling and Monitoring of Geometrical Deviations in Complex Shapes With Application to Additive Manufacturing. 437-456 - Soheil Sadeghi, Somit Gupta, Stefan Gramatovici, Jiannan Lu, Hao Ai, Ruhan Zhang:
Novelty and Primacy: A Long-Term Estimator for Online Experiments. 524-534 - Nathan Wycoff, Mickaël Binois, Robert B. Gramacy:
Sensitivity Prewarping for Local Surrogate Modeling. 535-547 - Firdous Ahmad Mala:
Basic Statistics and Epidemiology: A Practical Guide (5th Edition): by Antony Stewart, CRC Press, Taylor and Francis Group, 2022, xi + 204 pp., $99.00 (HB), ISBN: 9780367708153. 578-579 - Stan Lipovetsky:
Adventures in Recreational Mathematics, Vol. 1, ISBN 978-981-122-650-2. 575-581 - Peihua Qiu, Xiulin Xie:
Transparent Sequential Learning for Statistical Process Control of Serially Correlated Data. 487-501
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