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ORCIDPeter Goos
Person information
- affiliation: University of Leuven, Faculty of Bio-Science Engineering, Belgium
- affiliation: University of Antwerp, Faculty of Applied Economics, Belgium
- affiliation: Erasmus University Rotterdam, The Netherlands
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2020 – today
- 2023
[j42]Pieter T. Eendebak, Eric D. Schoen
, Alan R. Vazquez, Peter Goos:
Systematic enumeration of two-level even-odd designs of strength 3. Comput. Stat. Data Anal. 180: 107678 (2023)- [j41]Alan R. Vazquez, Weng Kee Wong, Peter Goos:
Constructing two-level QB-optimal screening designs using mixed-integer programming and heuristic algorithms. Stat. Comput. 33(1): 7 (2023) - 2022
- [j40]Arno Strouwen, Bart M. Nicolaï, Peter Goos:
Robust dynamic experiments for the precise estimation of respiration and fermentation parameters of fruit and vegetables. PLoS Comput. Biol. 18(1) (2022) - [j39]Eric D. Schoen, Pieter T. Eendebak, Alan R. Vazquez, Peter Goos:
Systematic enumeration of definitive screening designs. Stat. Comput. 32(6): 109 (2022) - 2020
- [j38]Peter Goos, U. Syafitri, Bagus Sartono, Alan R. Vazquez:
A nonlinear multidimensional knapsack problem in the optimal design of mixture experiments. Eur. J. Oper. Res. 281(1): 201-221 (2020) - [j37]Nha Vo-Thanh, Peter Goos, Eric D. Schoen:
Integer programming approaches to find row-column arrangements of two-level orthogonal experimental designs. IISE Trans. 52(7): 780-796 (2020) - [j36]José Núñez Ares, Peter Goos:
Enumeration and Multicriteria Selection of Orthogonal Minimally Aliased Response Surface Designs. Technometrics 62(1): 21-36 (2020) - [j35]Alan R. Vazquez, Peter Goos, Eric D. Schoen:
Projections of Definitive Screening Designs by Dropping Columns: Selection and Evaluation. Technometrics 62(1): 37-47 (2020) - [j34]Kalliopi Mylona, Steven G. Gilmour, Peter Goos:
Optimal Blocked and Split-Plot Designs Ensuring Precise Pure-Error Estimation of the Variance Components. Technometrics 62(1): 57-70 (2020)
2010 – 2019
- 2019
- [j33]Alan R. Vazquez, Peter Goos, Eric D. Schoen:
Constructing Two-Level Designs by Concatenation of Strength-3 Orthogonal Arrays. Technometrics 61(2): 219-232 (2019) - [j32]Peter Goos, Bradley A. Jones:
Optimal Experimental Design in the Presence of Nested Factors. Technometrics 61(4): 533-544 (2019) - 2018
- [j31]Nha Vo-Thanh, Raf Jans, Eric D. Schoen, Peter Goos:
Symmetry breaking in mixed integer linear programming formulations for blocking two-level orthogonal experimental designs. Comput. Oper. Res. 97: 96-110 (2018) - 2017
- [j30]Daniel Palhazi Cuervo, Peter Goos, Kenneth Sörensen:
An algorithmic framework for generating optimal two-stratum experimental designs. Comput. Stat. Data Anal. 115: 224-249 (2017) - 2016
- [j29]Daniel Palhazi Cuervo, Peter Goos, Kenneth Sörensen:
Optimal design of large-scale screening experiments: a critical look at the coordinate-exchange algorithm. Stat. Comput. 26(1-2): 15-28 (2016) - 2015
- [j28]Marco Castro, Kenneth Sörensen, Pieter Vansteenwegen, Peter Goos:
A fast metaheuristic for the travelling salesperson problem with hotel selection. 4OR 13(1): 15-34 (2015) - [j27]Pablo A. Maya Duque, Marco Castro, Kenneth Sörensen, Peter Goos:
Home care service planning. The case of Landelijke Thuiszorg. Eur. J. Oper. Res. 243(1): 292-301 (2015) - [j26]Bagus Sartono, Eric D. Schoen, Peter Goos:
Blocking Orthogonal Designs With Mixed Integer Linear Programming. Technometrics 57(3): 428-439 (2015) - [j25]Bagus Sartono, Peter Goos, Eric D. Schoen:
Constructing General Orthogonal Fractional Factorial Split-Plot Designs. Technometrics 57(4): 488-502 (2015) - 2014
- [j24]Daniel Palhazi Cuervo, Peter Goos, Kenneth Sörensen, Emely Arráiz:
An iterated local search algorithm for the vehicle routing problem with backhauls. Eur. J. Oper. Res. 237(2): 454-464 (2014) - [j23]Peter Goos, Bart De Ketelaere:
Editorial - European Network for Business and Industrial Statistics 2012. Qual. Reliab. Eng. Int. 30(3): 313-314 (2014) - [j22]Kalliopi Mylona, Peter Goos, Bradley A. Jones:
Optimal Design of Blocked and Split-Plot Experiments for Fixed Effects and Variance Component Estimation. Technometrics 56(2): 132-144 (2014) - 2013
- [j21]Marco Castro, Kenneth Sörensen, Pieter Vansteenwegen, Peter Goos:
A memetic algorithm for the travelling salesperson problem with hotel selection. Comput. Oper. Res. 40(7): 1716-1728 (2013) - [j20]Christos Koukouvinos, Kalliopi Mylona, A. Skountzou, Peter Goos:
A General Construction Method for Five-Level Second-Order Rotatable Designs. Commun. Stat. Simul. Comput. 42(9): 1961-1969 (2013) - [j19]Pablo A. Maya Duque, Sofie Coene, Peter Goos, Kenneth Sörensen, Frits C. R. Spieksma:
The accessibility arc upgrading problem. Eur. J. Oper. Res. 224(3): 458-465 (2013) - 2012
- [j18]Pablo A. Maya, Kenneth Sörensen, Peter Goos:
A metaheuristic for a teaching assistant assignment-routing problem. Comput. Oper. Res. 39(2): 249-258 (2012) - [j17]Peter Goos, Steven G. Gilmour:
A General Strategy for Analyzing Data From Split-Plot and Multistratum Experimental Designs. Technometrics 54(4): 340-354 (2012) - [j16]Heidi Arnouts, Peter Goos:
Staggered-Level Designs for Experiments With More Than One Hard-to-Change Factor. Technometrics 54(4): 355-366 (2012) - 2011
- [j15]Amir Salehipour, Kenneth Sörensen, Peter Goos, Olli Bräysy:
Efficient GRASP+VND and GRASP+VNS metaheuristics for the traveling repairman problem. 4OR 9(2): 189-209 (2011) - [j14]M. Emmett, Peter Goos, Eleanor C. Stillman:
A weighted prediction-based selection criterion for response surface designs. Qual. Reliab. Eng. Int. 27(5): 719-729 (2011) - 2010
- [j13]Bart Vermeulen, Peter Goos, Martina Vandebroek:
Obtaining more information from conjoint experiments by best-worst choices. Comput. Stat. Data Anal. 54(6): 1426-1433 (2010) - [j12]Heidi Arnouts, Peter Goos:
Update formulas for split-plot and block designs. Comput. Stat. Data Anal. 54(12): 3381-3391 (2010) - [j11]Pablo A. Maya, Kenneth Sörensen, Peter Goos:
An efficient metaheuristic to improve accessibility by rural road network planning. Electron. Notes Discret. Math. 36: 631-638 (2010) - [j10]Heidi Arnouts, Peter Goos, Bradley A. Jones:
Design and analysis of industrial strip-plot experiments. Qual. Reliab. Eng. Int. 26(2): 127-136 (2010)
2000 – 2009
- 2009
- [j9]Jie Yu, Peter Goos, Martina Vandebroek:
Efficient Conjoint Choice Designs in the Presence of Respondent Heterogeneity. Mark. Sci. 28(1): 122-135 (2009) - [j8]Peter Goos, James M. Lucas:
Letter to the Editor. Technometrics 51(1): 96-97 (2009) - 2008
- [j7]Roselinde Kessels, Peter Goos, Martina Vandebroek:
Optimal designs for conjoint experiments. Comput. Stat. Data Anal. 52(5): 2369-2387 (2008) - [j6]Jie Yu, Peter Goos, Martina Vandebroek:
Model-Robust Design of Conjoint Choice Experiments. Commun. Stat. Simul. Comput. 37(8): 1603-1621 (2008) - [j5]Roselinde Kessels, Bradley A. Jones, Peter Goos, Martina Vandebroek:
Recommendations on the use of Bayesian optimal designs for choice experiments. Qual. Reliab. Eng. Int. 24(6): 737-744 (2008) - 2007
- [j4]Sabine Verboven, Karlien Vanden Branden, Peter Goos:
Sequential imputation for missing values. Comput. Biol. Chem. 31(5-6): 320-327 (2007) - 2006
- [j3]Peter Goos, Alexander N. Donev:
Blocking response surface designs. Comput. Stat. Data Anal. 51(2): 1075-1088 (2006) - 2005
- [j2]Peter Goos, André Kobilinsky, Timothy E. O'Brien, Martina Vandebroek:
Model-robust and model-sensitive designs. Comput. Stat. Data Anal. 49(1): 201-216 (2005) - 2003
- [j1]Peter Goos, Martina Vandebroek:
D-Optimal Split-Plot Designs With Given Numbers and Sizes of Whole Plots. Technometrics 45(3): 235-245 (2003) - 2002
- [c1]Peter Goos, Alexander N. Donev, Martina Vandebroek:
An Algorithm for the Construction of Experi-mental Designs with Fixed and Random Blocks. COMPSTAT 2002: 153-158
Coauthor Index
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