Access Statistics for Jack P.C. Kleijnen

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"Information economics": Inleiding en kritiek 0 0 0 0 0 1 1 4
A DSS for production planning: A case study including simulation and optimization 0 0 0 11 0 2 4 39
A DSS for production planning: A case study including simulation and optimization 0 0 0 0 0 1 1 1
A Methodology for Fitting and Validating Metamodels in Simulation 0 0 0 14 0 1 5 74
A Methodology for Fitting and Validating Metamodels in Simulation 0 0 0 1 1 4 7 14
A User's Guide to the Brave New World of Designing Simulation Experiments 0 0 0 1 0 3 6 15
A User's Guide to the Brave New World of Designing Simulation Experiments 0 0 0 5 0 5 7 46
A scenario for sequential experimentation 0 0 0 0 0 0 4 15
A scenario for sequential experimentation 0 0 0 0 0 0 1 2
Adjustable Robust Parameter Design with Unknown Distributions 0 0 0 6 0 2 6 46
Adjustable Robust Parameter Design with Unknown Distributions 0 0 0 0 0 1 4 7
An Overview of the Design and Analysis of Simulation Experiments for Sensitivity Analysis 0 0 0 0 1 5 11 19
An Overview of the Design and Analysis of Simulation Experiments for Sensitivity Analysis 0 0 0 17 0 6 7 64
An asymptotic test of optimality conditions in multiresponse simulation optimization 0 0 0 4 0 1 7 34
Analysis and comparison of two strategies for multi-item inventory systems with joint replenishment costs 0 0 0 9 0 3 8 43
Analysis and comparison of two strategies for multi-item inventory systems with joint replenishment costs 0 0 0 0 0 1 3 5
Analysis of simulation with common random numbers: A note on Heikes et al. (1976) (Version 2) 0 0 0 0 0 3 3 4
Analyzing simulation experiments with common random number, part II: Rao's approach 0 0 0 0 0 1 3 4
Analyzing simulation experiments with common random number, part II: Rao's approach 0 0 0 1 0 3 4 14
Analyzing simulation experiments with common random numbers (Part I, 2nd rev. and expanded version) 0 0 0 0 0 3 3 3
Analyzing simulation experiments with common random numbers (Part I, 2nd rev. and expanded version) 0 0 0 0 0 0 1 6
Application-driven Sequential Designs for Simulation Experiments: Kriging Metamodeling 0 0 0 8 0 1 5 43
Application-driven Sequential Designs for Simulation Experiments: Kriging Metamodeling 0 0 0 2 0 3 4 14
Classic Kriging versus Kriging with Bootstrapping or Conditional Simulation: Classic Kriging's Robust Confidence Intervals and Optimization (Revised version of CentER DP 2013-038) 0 0 0 17 2 6 8 73
Classic Kriging versus Kriging with Bootstrapping or Conditional Simulation: Classic Kriging's Robust Confidence Intervals and Optimization (Revised version of CentER DP 2013-038) 0 0 0 0 0 1 3 5
Computers and operations research: A survey 0 0 0 0 0 2 3 5
Conditional simulation for efficient global optimization 0 0 0 4 0 2 6 20
Configuring a pull production control strategy through a generic model 0 0 0 4 0 1 4 19
Configuring a pull production control strategy through a generic model 0 0 0 0 0 1 1 1
Constrained Optimization in Random Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions 0 0 0 4 0 2 3 3
Constrained Optimization in Random Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions 0 0 0 2 1 2 3 6
Constrained Optimization in Simulation: A Novel Approach 0 0 0 0 0 3 5 9
Constrained Optimization in Simulation: A Novel Approach 0 0 0 6 0 5 14 39
Constrained Optimization in Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions 0 0 0 5 0 1 2 8
Constrained Optimization in Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions 0 0 0 0 0 3 6 11
Constrained Optimization in Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions (revision of 2021-031) 0 0 0 0 0 1 6 11
Constrained Optimization in Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions (revision of 2021-031) 0 0 0 6 0 3 14 36
Constrained optimization in Random Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions (Revision of CentER DP 2022-022) 0 0 0 5 0 3 6 7
Constrained optimization in Random Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions (Revision of CentER DP 2022-022) 0 0 0 5 0 2 8 11
Constrained optimization in simulation: A novel approach 0 0 0 1 0 2 6 19
Convex and Monotonic Bootstrapped Kriging 0 0 0 1 0 3 6 9
Convex and Monotonic Bootstrapped Kriging 0 0 0 1 0 1 2 16
Convex and monotonic bootstrapped kriging 0 0 0 1 0 1 4 14
Cross-validation using the t statistic 0 0 0 0 0 2 2 9
Cross-validation using the t statistic 0 0 0 0 0 2 3 4
Customized Pull Systems for Single-Product Flow Lines 0 0 0 0 0 0 4 9
Customized Pull Systems for Single-Product Flow Lines 0 0 0 9 0 0 0 28
Customized Sequential Designs for Random Simulation Experiments: Kriging Metamodelling and Bootstrapping 0 0 0 10 1 5 7 67
Customized Sequential Designs for Random Simulation Experiments: Kriging Metamodelling and Bootstrapping 0 0 0 0 0 1 4 6
Customized Sequential Designs for Random Simulation Experiments: Kriging Metamodelling and Bootstrapping 0 0 0 2 0 2 4 18
Customized Sequential Designs for Random Simulation Experiments: Kriging Metamodelling and Bootstrapping 0 0 0 0 0 4 6 9
De rol van simulatie in de algemene econometrie 0 0 0 0 0 3 3 3
Decision Support Systems (DSS), en de kleren van de keizer 0 0 0 0 0 0 2 5
Decision Support Systems (DSS), en de kleren van de keizer 0 0 0 1 0 1 2 11
Design and Analysis of Monte Carlo Experiments 0 0 0 5 0 1 4 23
Design and Analysis of Monte Carlo Experiments 0 0 0 0 0 3 5 8
Design and Analysis of simulation experiments: Tutorial 0 0 0 0 0 2 4 5
Design and Analysis of simulation experiments: Tutorial 0 0 0 65 0 4 4 53
Design of Experiments: An Overview 0 0 0 0 0 3 4 6
Design of Experiments: An Overview 0 0 0 6 0 4 8 27
Design of simulation experiments 0 0 0 0 0 2 3 4
Design of simulation experiments 0 0 0 0 0 3 4 12
Deterministic versus Stochastic Sensitivity Analysis in Investment Problems: An Environmental Case Study 0 0 0 12 1 2 3 57
Deterministic versus Stochastic Sensitivity Analysis in Investment Problems: An Environmental Case Study 0 0 0 0 0 5 6 9
Economic framework for information systems 0 0 0 12 0 2 9 43
Economic framework for information systems 0 0 0 0 0 0 1 2
Een toepassing van "importance sampling" 0 0 0 0 0 1 3 3
Efficient Global Optimization for Black-Box Simulation via Sequential Intrinsic Kriging 0 0 0 0 0 4 5 8
Efficient Global Optimization for Black-Box Simulation via Sequential Intrinsic Kriging 0 0 0 12 2 8 14 80
Efficient estimation of power functions 0 0 0 0 0 2 3 3
Efficient estimation of power functions 0 0 0 0 0 1 6 16
Efficient global optimization and the zero-gradient condition, in expensive simulation 0 0 0 1 1 3 6 10
Estimating the Variance of the Predictor in Stochastic Kriging 0 0 0 10 0 2 3 48
Estimating the Variance of the Predictor in Stochastic Kriging 0 0 0 0 0 5 10 12
Ethical Issues in Engineering Models: Personal Reflections 0 0 0 2 0 5 7 34
Ethical Issues in Engineering Models: Personal Reflections 0 0 0 0 0 0 1 4
Ethical issues in engineering models: An operations researcher's reflections 0 0 0 0 0 5 6 20
Ethische vragen in Operations Research 0 0 0 2 0 1 1 7
Expected Improvement in Efficient Global Optimization Through Bootstrapped Kriging - Replaces CentER DP 2010-62 0 0 0 0 0 2 6 29
Expected Improvement in Efficient Global Optimization Through Bootstrapped Kriging - Replaces CentER DP 2010-62 0 0 0 0 0 4 7 11
Experimental Design for Sensitivity Analysis of Simulation Models 0 0 0 0 0 1 3 6
Experimental Design for Sensitivity Analysis of Simulation Models 0 0 0 4 0 3 4 18
Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models 0 0 0 80 0 0 2 183
Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models 0 0 1 2 1 1 5 10
Experimental design and regression analysis in simulation: An FMS case study 0 0 0 1 0 7 9 37
Experimental design and regression analysis in simulation: An FMS case study 0 0 0 0 1 5 6 12
Factor Screening For Simulation With Multiple Responses: Sequential Bifurcation 0 0 0 1 0 3 5 11
Factor Screening For Simulation With Multiple Responses: Sequential Bifurcation 0 0 0 3 0 2 6 40
Factor Screening for Simulation with Multiple Responses: Sequential Bifurcation 0 0 0 0 0 2 2 6
Factor Screening for Simulation with Multiple Responses: Sequential Bifurcation 0 0 0 4 2 6 9 46
Finding the Important Factors in Large Discrete-Event Simulation: Sequential Bifurcation and its Applications 0 0 0 0 0 0 3 3
Finding the Important Factors in Large Discrete-Event Simulation: Sequential Bifurcation and its Applications 0 0 0 3 0 1 1 13
Generalizations of simulation results: Practicality of statistical methods (Part one) 0 0 0 0 0 3 3 4
Generalizations of simulation results: Practicality of statistical methods (Part one) 0 0 0 0 0 1 4 12
Generalized Response Surface Methodology: A New Metaheuristic 0 0 0 8 0 3 7 42
Generalized Response Surface Methodology: A New Metaheuristic 0 0 0 0 1 4 5 9
Generalizing simulation results through metamodels 0 0 0 1 0 2 5 6
Global Optimization for Black-box Simulation via Sequential Intrinsic Kriging 0 0 0 9 0 3 12 78
Global Optimization for Black-box Simulation via Sequential Intrinsic Kriging 0 0 0 0 0 1 2 4
Identifying the important factors in simulation models with many factors 0 0 0 0 0 2 5 7
Identifying the important factors in simulation models with many factors 0 0 0 1 0 5 8 25
Identifying the important factors in simulation models with many factors 0 0 0 0 0 2 6 9
Identifying the important factors in simulation models with many factors 0 0 0 41 0 2 5 631
Importance sampling in systems simulation: A practical failure? 0 0 0 0 1 3 6 8
Importance sampling in systems simulation: A practical failure? 0 0 0 0 0 3 8 22
Improved design of queuing simulation experiments with highly heteroscedastic responses 0 0 0 1 1 5 7 13
Improved design of queuing simulation experiments with highly heteroscedastic responses 0 0 0 2 0 3 4 14
Jackknifing estimated weighted least squares 0 0 0 0 1 6 8 10
Jackknifing estimated weighted least squares 0 0 0 1 0 1 2 17
Kriging Metamodeling in Simulation: A Review 0 1 1 5 0 5 6 24
Kriging Metamodeling in Simulation: A Review 0 0 0 23 0 1 2 107
Kriging for Interpolation in Random Simulation 0 0 0 11 0 0 3 42
Kriging for Interpolation in Random Simulation 0 0 1 1 0 1 2 6
Kriging in Multi-response Simulation, including a Monte Carlo Laboratory (Replaced by 2014-012) 0 0 0 0 0 0 1 4
Kriging in Multi-response Simulation, including a Monte Carlo Laboratory (Replaced by 2014-012) 0 0 0 20 0 2 3 86
Kriging: Methods and Applications 0 0 0 2 0 2 3 7
Kriging: Methods and Applications 0 0 0 29 0 1 1 43
Maximizing the simulation output: A competition 0 0 0 0 0 1 1 2
Measurement scales and resolution IV designs: A note (Version 3) 0 0 0 4 0 2 4 17
Measurement scales and resolution IV designs: A note (Version 3) 0 0 0 0 0 0 1 2
Measuring the Quality of Publications: New Methodology and Case Study 0 0 0 1 0 2 2 6
Measuring the Quality of Publications: New Methodology and Case Study 0 0 0 1 0 1 3 15
Methodology for Determining the Acceptability of Given Designs in Uncertain Environments 0 0 0 1 0 1 2 14
Methodology for Determining the Acceptability of Given Designs in Uncertain Environments 0 0 0 0 0 2 3 8
Methodology for determining the acceptability of system designs in uncertain environments 0 0 0 1 0 2 3 39
Minimizing waiting times using priority classes: A case study in response surface methodology 0 0 0 0 0 1 1 3
Monotonicity-Preserving Bootstrapped Kriging Metamodels for Expensive Simulations 0 0 0 0 0 1 2 7
Monotonicity-Preserving Bootstrapped Kriging Metamodels for Expensive Simulations 0 0 0 1 0 2 7 28
Monotonicity-preserving bootstrapped kriging metamodels for expensive simulations 0 0 0 2 0 1 6 20
Monte Carlo sampling and variance reduction techniques 0 0 0 0 0 2 3 3
Monte Carlo sampling and variance reduction techniques 0 0 0 2 0 1 3 17
Multivariate Versus Univariate Kriging Metamodels for Multi-Response Simulation Models (Revision of 2012-039) 0 0 0 23 0 2 3 55
Multivariate Versus Univariate Kriging Metamodels for Multi-Response Simulation Models (Revision of 2012-039) 0 0 0 0 0 3 4 14
New entrants and the role of information technology: Case study: The Tele-Flower Auction in The Netherlands 0 0 0 0 0 1 3 18
New species of hybrid pull systems 0 0 0 2 0 1 4 18
New species of hybrid pull systems 0 0 0 0 1 2 2 5
On the interpretation of variables 0 0 0 0 0 2 2 11
On the interpretation of variables 0 0 0 0 0 1 1 2
Operations research and computers 0 0 0 1 1 5 8 25
Operations research and computers 0 0 0 0 0 2 7 9
Optimal design of experiments with simulation models of nearly saturated queues 0 0 0 0 0 0 0 8
Optimal design of experiments with simulation models of nearly saturated queues 0 0 0 0 0 0 1 3
Optimal design of simulation experiments with nearly saturated queues 0 0 0 0 0 0 0 2
Optimal design of simulation experiments with nearly saturated queues 0 0 0 3 0 2 2 8
Optimization Versus Robustness in Simulation: A Practical Methodology, With a Production-Management Case-Study 0 0 0 0 0 0 0 1
Optimization Versus Robustness in Simulation: A Practical Methodology, With a Production-Management Case-Study 0 0 0 4 0 4 6 21
Optimization and Sensitivity Analysis of Computer Similation Models by the Score Function Method 0 0 0 0 1 4 8 401
Optimization and sensitivity analysis of computer simulation models by the score function method 0 0 0 1 1 4 4 7
Optimization and sensitivity analysis of computer simulation models by the score function method 0 0 0 4 0 0 1 23
Optimization of Simulated Inventory Systems: OptQuest and Alternatives 0 0 0 12 0 3 4 54
Optimization of Simulated Inventory Systems: OptQuest and Alternatives 0 0 0 0 0 0 3 5
Optimization of System Dynamics Models: a Novel Methodology 0 0 0 0 0 4 4 6
Optimization of System Dynamics Models: a Novel Methodology 0 0 0 3 1 2 3 8
Parametric and distribution-free bootstrapping in robust simulation-optimization 0 0 0 1 0 2 2 10
Prediction for Big Data through Kriging: Small Sequential and One-Shot Designs 0 0 0 41 0 1 6 48
Prediction for Big Data through Kriging: Small Sequential and One-Shot Designs 0 0 0 0 1 2 4 5
Pseudorandom number generation on supercomputers 0 0 0 0 0 1 6 6
Pseudorandom number generation on supercomputers 0 0 0 0 0 7 11 20
Pseudorandom number generators revisited 0 0 0 0 0 3 3 4
Pseudorandom number generators revisited 0 0 0 0 0 1 2 11
Quantile estimation in regenerative simulation: A case study 0 0 0 0 0 0 1 2
Regression Models and Experimental Designs: A Tutorial for Simulation Analaysts 0 0 0 0 0 2 8 11
Regression Models and Experimental Designs: A Tutorial for Simulation Analaysts 0 0 0 6 0 2 3 27
Regression analysis for simulation practitioners 0 0 0 0 0 1 2 9
Regression analysis for simulation practitioners 0 0 0 0 0 0 2 3
Regression analysis of factoral designs with sequential replication 0 0 0 0 0 1 2 4
Regression analysis of factoral designs with sequential replication 0 0 0 1 0 3 6 13
Regression analysis of simulation experiments: Functional software specification 0 0 0 0 0 1 3 13
Regression analysis of simulation experiments: Functional software specification 0 0 0 0 0 1 5 6
Regression analysis: Assumptions, alternatives, applications 0 0 0 0 1 2 8 9
Regression analysis: Assumptions, alternatives, applications 0 0 0 4 2 5 6 27
Regression and Kriging Metamodels with Their Experimental Designs in Simulation: Review 0 0 0 2 0 5 10 27
Regression and Kriging Metamodels with Their Experimental Designs in Simulation: Review 0 0 0 53 1 3 8 113
Regression estimators in simulation 0 0 0 0 0 2 5 6
Regression estimators in simulation 0 0 0 0 0 2 2 9
Regression metamodel summarization of model behaviour 0 0 0 0 0 1 3 18
Regression metamodel summarization of model behaviour 0 0 0 0 0 2 3 3
Regression metamodels for simulation with common random numbers: Comparison of techniques 0 0 0 0 0 1 2 3
Regression metamodels for simulation with common random numbers: Comparison of techniques 0 0 0 1 0 3 6 14
Regression sampling in statistical auditing 0 0 0 6 0 2 3 35
Regression sampling in statistical auditing 0 0 0 0 0 1 1 1
Response Surface Methodology 1 1 1 5 9 13 19 35
Response Surface Methodology 0 0 0 65 0 3 7 261
Response Surface Methodology's Steepest Ascent and Step Size Revisited 0 0 0 0 0 0 2 10
Response Surface Methodology's Steepest Ascent and Step Size Revisited 0 1 1 12 0 7 8 146
Robust Optimization in Simulation: Taguchi and Krige Combined 0 0 0 6 0 1 5 41
Robust Optimization in Simulation: Taguchi and Krige Combined 0 0 0 0 0 2 3 7
Robust Optimization in Simulation: Taguchi and Response Surface Methodology 0 0 0 4 0 3 7 41
Robust Optimization in Simulation: Taguchi and Response Surface Methodology 0 0 0 0 0 3 4 7
Robust optimization in simulation: Taguchi and Response Surface Methodology 0 0 0 10 0 2 3 43
Sampling for quality inspection and correction: AOQL performance criteria 0 0 0 0 0 1 2 3
Sampling for quality inspection and correction: AOQL performance criteria 0 0 0 0 0 3 4 31
Sampling for quality inspection and correction: AOQL performance criteria (Version 3) 0 0 0 0 0 1 3 31
Sampling for quality inspection and correction: AOQL performance criteria (Version 3) 0 0 0 0 0 0 1 2
Scoring methods, multiple criteria, and utility analysis 0 0 0 0 0 4 6 23
Scoring methods, multiple criteria, and utility analysis 0 0 0 0 0 4 5 6
Screening Experiments for Simulation: A Review 0 0 0 3 0 5 7 25
Screening Experiments for Simulation: A Review 0 0 0 0 0 3 6 7
Sealed-Bid Auction of Dutch Mussels: Statistical Analysis 0 0 0 3 0 2 3 26
Sealed-Bid Auction of Dutch Mussels: Statistical Analysis 0 0 0 0 0 3 3 3
Sealed-Bid Auctions: Case Study 0 0 0 2 1 2 6 26
Sealed-Bid Auctions: Case Study 0 0 0 0 0 2 6 6
Selecting random number seeds in practice 0 0 0 0 0 1 2 3
Selecting random number seeds in practice 0 0 0 0 0 4 4 11
Sensitivity Analysis of Censored Output Through Polynomial, Logistic and Tobit Regression Meta-Models: Theory and Case Study 0 0 0 4 0 2 4 22
Sensitivity Analysis of Censored Output Through Polynomial, Logistic and Tobit Regression Meta-Models: Theory and Case Study 0 0 0 0 1 3 3 10
Sensitivity Analysis of Simulation Models 0 0 0 12 0 2 4 41
Sensitivity Analysis of Simulation Models 0 0 0 0 0 0 1 9
Sensitivity analysis and optimization of system dynamics models: Regression analysis and statistical design of experiments 0 0 1 50 2 6 11 171
Sensitivity analysis and optimization of system dynamics models: Regression analysis and statistical design of experiments 0 0 0 0 0 6 10 16
Sensitivity analysis and related analysis: A survey of statistical techniques 0 0 0 0 0 5 7 10
Sensitivity analysis and related analysis: A survey of statistical techniques 0 0 1 27 0 1 4 125
Sensitivity analysis of simulation experiments: Regression analysis and statistical design 0 0 0 10 0 3 7 48
Sensitivity analysis of simulation experiments: Regression analysis and statistical design 0 0 0 0 0 2 2 5
Sensitivity analysis of simulation experiments: Tutorial on regression analysis and statistical design 0 0 0 1 0 1 2 26
Sensitivity analysis of simulation experiments: Tutorial on regression analysis and statistical design 0 0 0 0 0 1 3 3
Sequential Probability Ration Tests: Conservative and Robust 0 0 0 1 0 1 1 6
Sequential Probability Ration Tests: Conservative and Robust 0 0 0 32 0 0 3 40
Short-Term Robustness of Production Management Systems: New Methodology 0 0 0 0 0 0 2 8
Short-Term Robustness of Production Management Systems: New Methodology 0 0 0 0 0 0 0 3
Short-term robustness of production management systems 0 0 0 0 0 4 4 5
Short-term robustness of production management systems 0 0 0 6 0 2 4 37
Simulatie 0 0 0 0 0 2 2 3
Simulation Experiments in Practice: Statistical Design and Regression Analysis 0 0 0 0 0 1 4 6
Simulation Experiments in Practice: Statistical Design and Regression Analysis 0 0 0 8 0 1 6 31
Simulation Experiments in Practice: Statistical Design and Regression Analysis 0 0 0 1 0 2 4 21
Simulation Experiments in Practice: Statistical Design and Regression Analysis 0 0 0 0 0 1 2 5
Simulation Optimization through Regression or Kriging Metamodels 0 0 0 0 0 3 3 6
Simulation Optimization through Regression or Kriging Metamodels 0 0 0 17 0 2 7 35
Simulation and optimization in production planning: A case study (Version 2) 0 0 0 5 0 2 4 27
Simulation and optimization in production planning: A case study (Version 2) 0 0 0 0 1 1 1 7
Simulation in the evaluation of management information systems: An overview and evaluation 0 0 0 0 0 1 1 4
Simulation in the evaluation of management information systems: An overview and evaluation 0 0 0 0 0 1 2 26
Simulation with too many factors: Review of random and group-screening designs 0 0 0 1 0 4 5 18
Simulation with too many factors: Review of random and group-screening designs 0 0 0 0 0 2 3 5
Simulation-Optimization via Kriging and Bootstrapping: A Survey (Revision of CentER DP 2011-064) 0 0 0 23 0 1 3 53
Simulation-Optimization via Kriging and Bootstrapping: A Survey (Revision of CentER DP 2011-064) 0 0 0 1 0 1 4 12
Small-jobs-first: A combined queuing, simulation, and regression analysis 0 0 0 0 0 2 2 3
Small-jobs-first: A combined queuing, simulation, and regression analysis 0 0 0 2 0 1 2 19
Statistical Analysis of Random Simulations: Bootstrap Tutorial 0 0 0 0 1 3 3 4
Statistical Analysis of Random Simulations: Bootstrap Tutorial 0 0 0 13 1 5 11 56
Statistical Testing of Optimality Conditions in Multiresponse Simulation-Based Optimization (Replaced by Discussion Paper 2007-45) 0 0 0 0 0 1 3 5
Statistical Testing of Optimality Conditions in Multiresponse Simulation-Based Optimization (Replaced by Discussion Paper 2007-45) 0 0 0 2 1 6 10 29
Statistical Testing of Optimality Conditions in Multiresponse Simulation-based Optimization (Revision of 2005-81) 0 0 0 0 0 1 1 3
Statistical Testing of Optimality Conditions in Multiresponse Simulation-based Optimization (Revision of 2005-81) 0 0 0 0 0 1 4 32
Statistical Tests for Cross-Validation of Kriging Models 0 0 0 0 0 4 9 11
Statistical Tests for Cross-Validation of Kriging Models 0 0 1 34 6 19 23 62
Statistical analysis of steady-state simulations: Survey of recent progress 0 0 0 2 0 0 0 16
Statistical analysis of steady-state simulations: Survey of recent progress 0 0 0 0 0 1 2 3
Statistical aspects of simulation: An updated survey 0 0 0 1 0 1 1 7
Statistical aspects of simulation: An updated survey 0 0 0 0 0 4 4 4
Statistical validation of simulation models: A case study 0 0 0 5 0 1 5 26
Statistical validation of simulation models: A case study 0 0 0 0 0 4 7 12
Statistics and deterministic simulation models: Why not? 0 0 0 2 0 1 2 13
Statistics and deterministic simulation models: Why not? 0 0 0 0 0 0 2 3
Stochastic Intrinsic Kriging for Simulation Metamodelling 0 0 0 26 0 4 7 69
Stochastic Intrinsic Kriging for Simulation Metamodelling 0 0 0 0 0 6 7 13
Stochastic Intrinsic Kriging for Simulation Metamodelling 0 0 0 0 1 3 8 13
Stochastic Intrinsic Kriging for Simulation Metamodelling 0 0 0 15 0 1 6 54
Supercomputers, Monte Carlo simulation and regression analysis 0 0 0 3 1 5 5 36
Supercomputers, Monte Carlo simulation and regression analysis 0 0 0 0 0 1 7 8
Superefficient estimation of power functions in simulation experiments 0 0 0 0 0 5 5 6
Superefficient estimation of power functions in simulation experiments 0 0 0 0 0 3 6 10
Supply Chain Simulation: A Survey 0 0 0 9 0 0 1 50
Supply Chain Simulation: A Survey 0 0 0 1 0 3 6 17
Techniques for sensitivity analysis of simulation models: A case study of the CO2 greenhouse effect 0 0 0 1 0 1 1 32
Techniques for sensitivity analysis of simulation models: A case study of the CO2 greenhouse effect 0 0 0 0 1 4 4 5
Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034) 0 0 0 19 1 5 10 51
Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034) 0 0 0 0 0 3 6 8
Testing the mean of an asymmetric population: Johnson's modified t test revisited 0 0 0 17 0 0 1 69
Testing the mean of an asymmetric population: Johnson's modified t test revisited 0 0 0 0 1 1 2 4
The Correct Kriging Variance Estimated by Bootstrapping 0 0 0 17 1 3 5 70
The Correct Kriging Variance Estimated by Bootstrapping 0 0 0 1 0 2 5 10
The Cost of Risk-Aversion In Inventory Management: An (s,S) Case Study 0 0 0 3 0 2 5 7
The Cost of Risk-Aversion In Inventory Management: An (s,S) Case Study 0 0 0 2 0 3 8 13
The power of weighted and ordinary least squares with estimated unequal variances in experimental design 0 0 0 0 0 1 1 8
The power of weighted and ordinary least squares with estimated unequal variances in experimental design 0 0 0 1 0 1 2 4
The role of statistical methodology in simulation 0 0 0 1 0 3 10 22
The role of statistical methodology in simulation 0 0 0 0 0 2 3 3
Timeliness of information: A basic model 0 0 0 0 0 1 2 3
Timeliness of information: A basic model 0 0 0 5 0 0 1 25
Two-stage versus sequential sample-size determination in regression analysis of simulation experiments 0 0 0 0 0 4 6 16
Two-stage versus sequential sample-size determination in regression analysis of simulation experiments 0 0 0 0 0 4 5 9
Two-stage versus sequential sample-size determination in regression analysis of simulation experiments 0 0 0 0 0 2 2 3
Two-stage versus sequential sample-size determination in regression analysis of simulation experiments 0 0 0 1 0 1 5 20
Validating the Assumptions of Sequential Bifurcation in Factor Screening 0 0 0 19 0 2 5 40
Validating the Assumptions of Sequential Bifurcation in Factor Screening 0 0 0 0 0 3 4 7
Validation of Models: Statistical Techniques and Data Availability 0 0 0 0 0 0 1 2
Validation of Models: Statistical Techniques and Data Availability 0 0 0 5 1 1 2 31
Validation of Simulation Models: Regression Analysis Revisited 0 0 0 0 0 4 6 8
Validation of Simulation Models: Regression Analysis Revisited 0 0 0 4 0 3 4 24
Validation of Simulation, With and Without Real Data 0 0 1 1 0 1 2 5
Validation of Simulation, With and Without Real Data 0 0 0 8 1 4 9 29
Validation of simulation models: Mine-hunting case-study 0 0 0 0 0 2 4 7
Validation of simulation models: Mine-hunting case-study 0 0 0 4 1 4 5 20
Variance Reduction Techniques in Monte Carlo Methods 0 0 0 9 0 1 7 39
Variance Reduction Techniques in Monte Carlo Methods 0 0 0 0 0 0 0 1
Variance heterogeneity in experimental design 0 0 0 3 1 2 6 20
Variance heterogeneity in experimental design 0 0 0 0 0 0 2 2
Vector computers, Monte Carlo simulation, and regression analysis: An introduction (Version 2) 0 0 0 0 0 0 0 0
Vector computers, Monte Carlo simulation, and regression analysis: An introduction (Version 2) 0 0 0 1 0 1 2 19
Verification and validation of models 0 0 0 0 0 0 0 4
Verification and validation of models 0 0 0 0 0 1 1 12
Verification and validation of simulation models 0 0 1 1 1 2 8 15
Verification and validation of simulation models 0 1 2 5 0 6 11 39
When is the design of a manufacturing system acceptable in the presence of uncertainty? 0 0 0 0 0 1 2 10
White Noise Assumptions Revisited: Regression Models and Statistical Designs for Simulation Practice 0 0 0 1 1 6 7 9
White Noise Assumptions Revisited: Regression Models and Statistical Designs for Simulation Practice 0 0 0 6 0 0 3 42
Total Working Papers 1 4 12 1,283 63 705 1,355 7,487

Journal Article File Downloads Abstract Views
Last month 3 months 12 months Total Last month 3 months 12 months Total
A Comment on Blanning's “Metamodel for Sensitivity Analysis: The Regression Metamodel in Simulation” 0 0 0 5 1 4 7 29
A methodology for fitting and validating metamodels in simulation 0 0 2 75 0 2 6 218
A methodology to customize pull control systems 0 0 0 0 0 2 5 5
An overview of the design and analysis of simulation experiments for sensitivity analysis 0 1 1 48 1 4 10 141
Analysis and comparison of two strategies for multi-item inventory systems with joint replenishment costs 0 0 1 29 1 4 6 70
Analyzing Simulation Experiments with Common Random Numbers 0 0 0 6 0 2 5 22
Antithetic Variates, Common Random Numbers and Optimal Computer Time Allocation in Simulation 0 0 0 3 1 1 6 35
Application-driven sequential designs for simulation experiments: Kriging metamodelling 0 0 0 1 1 6 7 27
Bootstrapping to solve the limited data problem in production control: an application in batch process industries 0 0 0 0 0 1 1 10
Classic Kriging versus Kriging with bootstrapping or conditional simulation: classic Kriging’s robust confidence intervals and optimization 0 0 0 1 0 4 4 18
Comment on Park et al.’s “Robust Kriging in computer experiments” 0 0 0 6 1 2 4 31
Communication--An Extension of Gitlow's Methodology for Designing Abortion Clinics 0 0 0 0 0 4 4 8
Communication: Reply to Fox and Schruben 0 0 0 1 1 4 6 20
Constrained optimization in expensive simulation: Novel approach 0 0 0 18 1 4 7 99
Cross-validation using the t statistic 0 0 0 12 1 2 2 63
Customized sequential designs for random simulation experiments: Kriging metamodeling and bootstrapping 0 0 0 26 2 6 12 87
Deterministic versus stochastic sensitivity analysis in investment problems: An environmental case study 0 0 0 23 0 0 11 117
Een toepassing van “importance sampling” 0 0 0 0 1 8 9 10
Efficient global optimisation for black-box simulation via sequential intrinsic Kriging 0 0 0 0 0 3 5 12
Ethical issues in modeling: Some reflections 0 0 0 25 0 5 10 174
Evaluation of management information systems 0 0 0 56 1 3 4 167
Expected improvement in efficient global optimization through bootstrapped kriging 0 0 0 5 1 7 8 91
Experimental design and regression analysis in simulation: An FMS case study 0 0 0 97 0 3 5 337
Factor screening for simulation with multiple responses: Sequential bifurcation 0 0 0 4 1 3 7 31
Generalization of simulation results practicality of statistical methods 0 0 1 23 1 2 7 81
Improved Design of Queueing Simulation Experiments with Highly Heteroscedastic Responses 0 0 0 0 0 1 5 9
Information Systems in Management Science---Bayesian Information Economics: An Evaluation 0 0 0 2 0 3 3 8
Kriging for interpolation in random simulation 0 0 0 0 0 4 8 17
Kriging metamodeling in simulation: A review 0 0 2 83 1 13 26 394
Methodology for determining the acceptability of system designs in uncertain environments 0 0 0 5 0 1 2 54
Monotonicity-preserving bootstrapped Kriging metamodels for expensive simulations 0 0 0 0 1 2 7 20
Multivariate versus univariate Kriging metamodels for multi-response simulation models 0 0 0 8 1 6 9 53
Operations Research 2004 Meritorious Service Award Recipients and Appreciation to 2004 Referees 0 0 0 0 0 4 7 14
Optimization and sensitivity analysis of computer simulation models by the score function method 0 0 1 11 0 2 9 71
Performance metrics in supply chain management 0 1 2 7 0 4 10 55
Pseudorandom number generators for supercomputers and classical computers: A practical introduction 0 0 0 6 1 7 7 36
Regression Metamodels for Simulation with Common Random Numbers: Comparison of Validation Tests and Confidence Intervals 0 0 0 8 2 6 7 57
Regression Sampling in Statistical Auditing: A Practical Survey and Evaluation 0 0 1 2 0 1 6 10
Regression and Kriging metamodels with their experimental designs in simulation: A review 0 2 3 38 2 8 13 207
Response surface methodology with stochastic constraints for expensive simulation 0 0 0 3 2 4 6 24
Response surface methodology's steepest ascent and step size revisited 0 0 0 32 3 5 13 176
Response surface methodology's steepest ascent and step size revisited: Correction 0 0 0 18 1 3 5 84
Robust dual-response optimization 0 0 1 4 0 8 14 40
Robust optimization in simulation: Taguchi and Response Surface Methodology 0 0 1 39 1 4 13 158
Robustness of Kriging when interpolating in random simulation with heterogeneous variances: Some experiments 0 0 0 36 0 1 2 110
Sampling for quality inspection and correction: AOQL performance criteria 0 0 0 56 0 1 2 315
Sealed-bid auction of Netherlands mussels: Statistical analysis 0 0 0 11 0 3 9 87
Searching for important factors in simulation models with many factors: Sequential bifurcation 0 0 0 57 0 0 3 153
Sensitivity analysis by experimental design and metamodelling: Case study on simulation in national animal disease control 0 0 0 25 1 6 9 84
Sensitivity analysis of simulation experiments: regression analysis and statistical design 0 0 0 2 2 6 12 37
Short-term robustness of production management systems: A case study 0 0 1 22 0 1 3 89
Simulation with too many factors: review of random and group-screening designs 0 0 0 7 0 2 3 33
Simulation-optimization via Kriging and bootstrapping: a survey 0 0 0 0 0 2 4 5
Statistical Tests for Cross-Validation of Kriging Models 0 0 0 3 2 4 8 12
Statistical analysis of steady-state simulations: survey of recent progress 0 0 0 7 0 5 8 42
Statistical aspects of simulation: an updated survey* 0 0 0 0 0 3 7 12
Statistical testing of optimality conditions in multiresponse simulation-based optimization 0 0 0 10 0 1 8 74
Statistical validation of simulation models 0 0 0 24 0 4 6 87
Stochastic intrinsic Kriging for simulation metamodeling 0 0 0 1 1 9 11 26
Testing independence of simulation subruns: a note on the power of the Von Neumann test 0 0 0 7 0 1 2 32
The Use of Multiple Ranking Procedures to Analyze Simulations of Management Systems: A Tutorial 0 0 0 1 0 4 4 12
The correct Kriging variance estimated by bootstrapping 0 0 1 5 1 2 8 22
Validation of Trace-Driven Simulation Models: A Novel Regression Test 0 0 0 2 0 4 9 52
Validation of Trace-Driven Simulation Models: Bootstrap Tests 0 0 0 6 0 5 6 46
Validation of regression metamodels in simulation: Bootstrap approach 0 0 0 22 0 1 4 79
Validation of simulation model for robotic milking barn design 0 0 0 23 1 5 8 138
Vector Computers, Monte Carlo Simulation and Regression Analysis: An Introduction 0 0 0 4 1 5 10 51
Verification and validation of simulation models 0 0 3 252 1 11 33 872
Total Journal Articles 0 4 21 1,313 41 258 507 5,860
3 registered items for which data could not be found

Book File Downloads Abstract Views
Last month 3 months 12 months Total Last month 3 months 12 months Total
Design and Analysis of Simulation Experiments 0 0 0 0 4 9 15 39
Design and Analysis of Simulation Experiments 0 0 0 2 0 6 14 55
Total Books 0 0 0 2 4 15 29 94

Chapter File Downloads Abstract Views
Last month 3 months 12 months Total Last month 3 months 12 months Total
Classic Assumptions Versus Simulation Practice 0 0 0 0 0 2 3 4
Classic Regression Metamodels and Their Designs 0 0 0 0 1 2 4 8
Classic assumptions revisited 0 0 0 0 1 1 1 2
Epilogue 0 0 0 0 1 2 3 3
Factor Screening in Simulation Experiments: Review of Sequential Bifurcation 0 0 0 0 0 5 10 23
Introduction 0 0 0 0 0 2 4 4
Introduction 0 0 0 0 1 1 2 3
Kriging Metamodels and Their Designs 0 0 0 0 1 7 12 15
Kriging metamodels 0 0 0 0 0 2 2 5
Low-order polynomial regression metamodels and their designs: basics 0 0 0 0 0 4 4 6
Response Surface Methodology 0 0 0 0 2 7 16 30
Screening designs 0 0 0 0 0 1 4 7
Screening the Many Inputs of Realistic Simulation Models 0 0 0 1 0 3 6 9
Simulation Optimization 0 0 0 0 0 2 4 7
Simulation optimization 0 1 1 1 0 1 3 7
Total Chapters 0 1 1 2 7 42 78 133

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