Peter Goos - RankMe

50 papers Journal 49Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive and robust experimental design for linear dynamical models using Kalman filter. CoRR Arno Strouwen, Bart M. Nicolaï, Peter Goos
2026	J	`jnl`	An Analytic Expression for a Bayesian D-Optimality Criterion for the Poisson Model. Qual. Reliab. Eng. Int. Leen Van Brantegem, Peter Goos
2026	J	`jnl`	Pure error REML for analyzing data from multi-stratum designs. Comput. Stat. Data Anal. Steven G. Gilmour, Peter Goos, Heiko Großmann
2025	J	`jnl`	Optimal split -plot designs. Comput. Stat. Data Anal. Mathias Born, Peter Goos
2025	J	`jnl`	Response to Letter to the Editor. Technometrics Peter Goos, José Núñez Ares
2025	J	`jnl`	Two-level D- and A-optimal main-effects designs with run sizes one and two more than a multiple of four. Stat. Comput. Mohammed Saif Ismail Hameed, José Núñez Ares, Eric D. Schoen, Peter Goos
2024	J	`jnl`	Optimal orthogonal designs for experiments with four-level and two-level factors. Stat. Comput. Alexandre Bohyn, Eric D. Schoen, Peter Goos
2023	J	`jnl`	Constructing two-level Q Stat. Comput. Alan R. Vazquez, Weng Kee Wong, Peter Goos
2023	J	`jnl`	Systematic enumeration of two-level even-odd designs of strength 3. Comput. Stat. Data Anal. Pieter T. Eendebak, Eric D. Schoen, Alan R. Vazquez, Peter Goos
2022	J	`jnl`	Robust dynamic experiments for the precise estimation of respiration and fermentation parameters of fruit and vegetables. PLoS Comput. Biol. Arno Strouwen, Bart M. Nicolaï, Peter Goos
2022	J	`jnl`	Systematic enumeration of definitive screening designs. Stat. Comput. Eric D. Schoen, Pieter T. Eendebak, Alan R. Vazquez, Peter Goos
2020	J	`jnl`	A nonlinear multidimensional knapsack problem in the optimal design of mixture experiments. Eur. J. Oper. Res. Peter Goos, Utami Syafitri, Bagus Sartono, Alan R. Vazquez
2020	J	`jnl`	Enumeration and Multicriteria Selection of Orthogonal Minimally Aliased Response Surface Designs. Technometrics José Núñez Ares, Peter Goos
2020	J	`jnl`	Integer programming approaches to find row-column arrangements of two-level orthogonal experimental designs. IISE Trans. Nha Vo-Thanh, Peter Goos, Eric D. Schoen
2020	J	`jnl`	Optimal Blocked and Split-Plot Designs Ensuring Precise Pure-Error Estimation of the Variance Components. Technometrics Kalliopi Mylona, Steven G. Gilmour, Peter Goos
2020	J	`jnl`	Projections of Definitive Screening Designs by Dropping Columns: Selection and Evaluation. Technometrics Alan R. Vazquez, Peter Goos, Eric D. Schoen
2019	J	`jnl`	Constructing Two-Level Designs by Concatenation of Strength-3 Orthogonal Arrays. Technometrics Alan R. Vazquez, Peter Goos, Eric D. Schoen
2019	J	`jnl`	Optimal Experimental Design in the Presence of Nested Factors. Technometrics Peter Goos, Bradley A. Jones
2018	J	`jnl`	Symmetry breaking in mixed integer linear programming formulations for blocking two-level orthogonal experimental designs. Comput. Oper. Res. Nha Vo-Thanh, Raf Jans, Eric D. Schoen, Peter Goos
2017	J	`jnl`	An algorithmic framework for generating optimal two-stratum experimental designs. Comput. Stat. Data Anal. Daniel Palhazi Cuervo, Peter Goos, Kenneth Sörensen
2016	J	`jnl`	Optimal design of large-scale screening experiments: a critical look at the coordinate-exchange algorithm. Stat. Comput. Daniel Palhazi Cuervo, Peter Goos, Kenneth Sörensen
2015	J	`jnl`	A fast metaheuristic for the travelling salesperson problem with hotel selection. 4OR Marco Castro, Kenneth Sörensen, Pieter Vansteenwegen, Peter Goos
2015	J	`jnl`	Blocking Orthogonal Designs With Mixed Integer Linear Programming. Technometrics Bagus Sartono, Eric D. Schoen, Peter Goos
2015	J	`jnl`	Constructing General Orthogonal Fractional Factorial Split-Plot Designs. Technometrics Bagus Sartono, Peter Goos, Eric D. Schoen
2015	J	`jnl`	Home care service planning. The case of Landelijke Thuiszorg. Eur. J. Oper. Res. Pablo A. Maya Duque, Marco Castro, Kenneth Sörensen, Peter Goos
2014	J	`jnl`	An iterated local search algorithm for the vehicle routing problem with backhauls. Eur. J. Oper. Res. Daniel Palhazi Cuervo, Peter Goos, Kenneth Sörensen, Emely Arráiz
2014	J	`jnl`	Editorial - European Network for Business and Industrial Statistics 2012. Qual. Reliab. Eng. Int. Peter Goos, Bart De Ketelaere
2014	J	`jnl`	Optimal Design of Blocked and Split-Plot Experiments for Fixed Effects and Variance Component Estimation. Technometrics Kalliopi Mylona, Peter Goos, Bradley A. Jones
2013	J	`jnl`	A General Construction Method for Five-Level Second-Order Rotatable Designs. Commun. Stat. Simul. Comput. Christos Koukouvinos, Kalliopi Mylona, A. Skountzou, Peter Goos
2013	J	`jnl`	A memetic algorithm for the travelling salesperson problem with hotel selection. Comput. Oper. Res. Marco Castro, Kenneth Sörensen, Pieter Vansteenwegen, Peter Goos
2013	J	`jnl`	The accessibility arc upgrading problem. Eur. J. Oper. Res. Pablo A. Maya Duque, Sofie Coene, Peter Goos, Kenneth Sörensen, Frits C. R. Spieksma
2012	J	`jnl`	A General Strategy for Analyzing Data From Split-Plot and Multistratum Experimental Designs. Technometrics Peter Goos, Steven G. Gilmour
2012	J	`jnl`	A metaheuristic for a teaching assistant assignment-routing problem. Comput. Oper. Res. Pablo A. Maya, Kenneth Sörensen, Peter Goos
2012	J	`jnl`	Staggered-Level Designs for Experiments With More Than One Hard-to-Change Factor. Technometrics Heidi Arnouts, Peter Goos
2011	J	`jnl`	A weighted prediction-based selection criterion for response surface designs. Qual. Reliab. Eng. Int. M. Emmett, Peter Goos, Eleanor C. Stillman
2011	J	`jnl`	Efficient GRASP+VND and GRASP+VNS metaheuristics for the traveling repairman problem. 4OR Amir Salehipour, Kenneth Sörensen, Peter Goos, Olli Bräysy
2010	J	`jnl`	An efficient metaheuristic to improve accessibility by rural road network planning. Electron. Notes Discret. Math. Pablo A. Maya, Kenneth Sörensen, Peter Goos
2010	J	`jnl`	Design and analysis of industrial strip-plot experiments. Qual. Reliab. Eng. Int. Heidi Arnouts, Peter Goos, Bradley A. Jones
2010	J	`jnl`	Obtaining more information from conjoint experiments by best-worst choices. Comput. Stat. Data Anal. Bart Vermeulen, Peter Goos, Martina Vandebroek
2010	J	`jnl`	Update formulas for split-plot and block designs. Comput. Stat. Data Anal. Heidi Arnouts, Peter Goos
2009	J	`jnl`	Efficient Conjoint Choice Designs in the Presence of Respondent Heterogeneity. Mark. Sci. Jie Yu, Peter Goos, Martina Vandebroek
2009	J	`jnl`	Letter to the Editor. Technometrics Peter Goos, James M. Lucas
2008	J	`jnl`	Model-Robust Design of Conjoint Choice Experiments. Commun. Stat. Simul. Comput. Jie Yu, Peter Goos, Martina Vandebroek
2008	J	`jnl`	Optimal designs for conjoint experiments. Comput. Stat. Data Anal. Roselinde Kessels, Peter Goos, Martina Vandebroek
2008	J	`jnl`	Recommendations on the use of Bayesian optimal designs for choice experiments. Qual. Reliab. Eng. Int. Roselinde Kessels, Bradley A. Jones, Peter Goos, Martina Vandebroek
2007	J	`jnl`	Sequential imputation for missing values. Comput. Biol. Chem. Sabine Verboven, Karlien Vanden Branden, Peter Goos
2006	J	`jnl`	Blocking response surface designs. Comput. Stat. Data Anal. Peter Goos, Alexander N. Donev
2005	J	`jnl`	Model-robust and model-sensitive designs. Comput. Stat. Data Anal. Peter Goos, André Kobilinsky, Timothy E. O'Brien, Martina Vandebroek
2003	J	`jnl`	D-Optimal Split-Plot Designs With Given Numbers and Sizes of Whole Plots. Technometrics Peter Goos, Martina Vandebroek
2002	—	`conf`	An Algorithm for the Construction of Experi-mental Designs with Fixed and Random Blocks. COMPSTAT Peter Goos, Alexander N. Donev, Martina Vandebroek