Access Statistics for Jack P.C. Kleijnen

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"Information economics": Inleiding en kritiek 0 0 0 0 0 0 2 5
A DSS for production planning: A case study including simulation and optimization 0 0 0 0 0 0 3 3
A DSS for production planning: A case study including simulation and optimization 0 0 0 11 0 1 6 41
A Methodology for Fitting and Validating Metamodels in Simulation 0 0 0 1 0 1 11 18
A Methodology for Fitting and Validating Metamodels in Simulation 0 0 0 14 0 0 6 75
A User's Guide to the Brave New World of Designing Simulation Experiments 0 0 0 1 0 2 9 18
A User's Guide to the Brave New World of Designing Simulation Experiments 0 0 0 5 0 1 13 52
A scenario for sequential experimentation 0 0 0 0 0 1 4 5
A scenario for sequential experimentation 0 0 0 0 0 0 4 16
Adjustable Robust Parameter Design with Unknown Distributions 0 0 0 0 0 1 7 10
Adjustable Robust Parameter Design with Unknown Distributions 0 0 0 6 0 0 7 47
An Overview of the Design and Analysis of Simulation Experiments for Sensitivity Analysis 0 0 0 0 0 1 13 21
An Overview of the Design and Analysis of Simulation Experiments for Sensitivity Analysis 0 0 0 17 0 0 8 65
An asymptotic test of optimality conditions in multiresponse simulation optimization 0 0 0 4 1 1 12 39
Analysis and comparison of two strategies for multi-item inventory systems with joint replenishment costs 0 0 0 9 0 0 7 43
Analysis and comparison of two strategies for multi-item inventory systems with joint replenishment costs 0 0 0 0 0 0 4 6
Analysis of simulation with common random numbers: A note on Heikes et al. (1976) (Version 2) 0 0 0 0 0 0 4 5
Analyzing simulation experiments with common random number, part II: Rao's approach 0 0 0 1 0 1 6 16
Analyzing simulation experiments with common random number, part II: Rao's approach 0 0 0 0 0 0 4 5
Analyzing simulation experiments with common random numbers (Part I, 2nd rev. and expanded version) 0 0 0 0 0 0 1 6
Analyzing simulation experiments with common random numbers (Part I, 2nd rev. and expanded version) 0 0 0 0 0 0 3 3
Application-driven Sequential Designs for Simulation Experiments: Kriging Metamodeling 0 0 0 2 1 1 6 16
Application-driven Sequential Designs for Simulation Experiments: Kriging Metamodeling 0 0 0 8 0 0 10 48
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 0 1 12 77
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 0 4 6
Computers and operations research: A survey 0 0 0 0 0 0 4 6
Conditional simulation for efficient global optimization 0 0 0 4 0 1 11 26
Configuring a pull production control strategy through a generic model 0 0 0 0 0 0 2 2
Configuring a pull production control strategy through a generic model 0 0 0 4 0 1 5 21
Constrained Optimization in Random Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions 0 0 0 2 0 0 3 7
Constrained Optimization in Random Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions 0 0 0 4 0 0 3 3
Constrained Optimization in Simulation: A Novel Approach 0 0 0 6 0 0 17 42
Constrained Optimization in Simulation: A Novel Approach 0 0 0 0 0 0 6 11
Constrained Optimization in Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions 0 0 0 0 0 1 7 12
Constrained Optimization in Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions 0 0 0 5 0 0 2 8
Constrained Optimization in Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions (revision of 2021-031) 0 0 0 0 0 0 6 11
Constrained Optimization in Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions (revision of 2021-031) 0 0 0 6 0 0 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 0 7 11
Constrained optimization in Random Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions (Revision of CentER DP 2022-022) 0 0 0 5 0 0 7 8
Constrained optimization in simulation: A novel approach 0 0 0 1 0 1 10 23
Convex and Monotonic Bootstrapped Kriging 0 0 0 1 0 0 4 19
Convex and Monotonic Bootstrapped Kriging 0 0 0 1 0 0 7 11
Convex and monotonic bootstrapped kriging 0 0 0 1 0 0 5 15
Cross-validation using the t statistic 0 0 0 0 0 1 5 12
Cross-validation using the t statistic 0 0 0 0 0 1 4 5
Customized Pull Systems for Single-Product Flow Lines 0 0 0 0 0 0 4 10
Customized Pull Systems for Single-Product Flow Lines 0 0 0 9 0 0 1 29
Customized Sequential Designs for Random Simulation Experiments: Kriging Metamodelling and Bootstrapping 0 0 0 2 0 0 5 19
Customized Sequential Designs for Random Simulation Experiments: Kriging Metamodelling and Bootstrapping 0 0 0 0 0 2 9 12
Customized Sequential Designs for Random Simulation Experiments: Kriging Metamodelling and Bootstrapping 0 0 0 10 0 0 9 69
Customized Sequential Designs for Random Simulation Experiments: Kriging Metamodelling and Bootstrapping 0 0 0 0 0 0 6 8
De rol van simulatie in de algemene econometrie 0 0 0 0 0 0 3 3
Decision Support Systems (DSS), en de kleren van de keizer 0 0 0 0 0 0 4 8
Decision Support Systems (DSS), en de kleren van de keizer 0 0 0 1 0 0 6 15
Design and Analysis of Monte Carlo Experiments 0 0 0 5 0 0 8 27
Design and Analysis of Monte Carlo Experiments 0 0 0 0 0 0 6 9
Design and Analysis of simulation experiments: Tutorial 0 0 0 65 0 0 6 55
Design and Analysis of simulation experiments: Tutorial 0 0 0 0 0 2 6 7
Design of Experiments: An Overview 0 0 0 0 0 2 6 9
Design of Experiments: An Overview 0 0 0 6 0 0 9 28
Design of simulation experiments 0 0 0 0 1 1 3 5
Design of simulation experiments 0 0 0 0 0 0 5 13
Deterministic versus Stochastic Sensitivity Analysis in Investment Problems: An Environmental Case Study 0 0 0 12 0 0 3 57
Deterministic versus Stochastic Sensitivity Analysis in Investment Problems: An Environmental Case Study 0 0 0 0 1 1 9 12
Economic framework for information systems 0 0 0 12 0 0 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 0 5 5
Efficient Global Optimization for Black-Box Simulation via Sequential Intrinsic Kriging 0 0 0 12 0 2 17 83
Efficient Global Optimization for Black-Box Simulation via Sequential Intrinsic Kriging 0 0 0 0 0 1 7 10
Efficient estimation of power functions 0 0 0 0 0 1 5 5
Efficient estimation of power functions 0 0 0 0 0 0 7 18
Efficient global optimization and the zero-gradient condition, in expensive simulation 0 0 0 1 1 1 6 11
Estimating the Variance of the Predictor in Stochastic Kriging 0 0 0 10 0 2 5 50
Estimating the Variance of the Predictor in Stochastic Kriging 0 0 0 0 0 0 9 12
Ethical Issues in Engineering Models: Personal Reflections 0 0 0 0 0 1 1 5
Ethical Issues in Engineering Models: Personal Reflections 0 0 0 2 0 0 9 36
Ethical issues in engineering models: An operations researcher's reflections 0 0 0 0 0 1 11 26
Ethische vragen in Operations Research 0 0 0 2 0 0 3 9
Expected Improvement in Efficient Global Optimization Through Bootstrapped Kriging - Replaces CentER DP 2010-62 0 0 0 0 0 1 10 14
Expected Improvement in Efficient Global Optimization Through Bootstrapped Kriging - Replaces CentER DP 2010-62 0 0 0 0 0 0 7 31
Experimental Design for Sensitivity Analysis of Simulation Models 0 0 0 0 0 0 4 7
Experimental Design for Sensitivity Analysis of Simulation Models 0 0 0 4 0 0 4 18
Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models 0 0 0 2 1 1 4 11
Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models 0 0 0 80 0 0 2 183
Experimental design and regression analysis in simulation: An FMS case study 0 0 0 0 0 0 7 13
Experimental design and regression analysis in simulation: An FMS case study 0 0 0 1 0 0 10 38
Factor Screening For Simulation With Multiple Responses: Sequential Bifurcation 0 0 0 3 0 0 7 41
Factor Screening For Simulation With Multiple Responses: Sequential Bifurcation 0 0 0 1 0 0 5 11
Factor Screening for Simulation with Multiple Responses: Sequential Bifurcation 0 0 0 4 1 1 10 48
Factor Screening for Simulation with Multiple Responses: Sequential Bifurcation 0 0 0 0 0 0 6 10
Finding the Important Factors in Large Discrete-Event Simulation: Sequential Bifurcation and its Applications 0 0 0 0 0 0 5 5
Finding the Important Factors in Large Discrete-Event Simulation: Sequential Bifurcation and its Applications 0 0 0 3 0 0 2 14
Generalizations of simulation results: Practicality of statistical methods (Part one) 0 0 0 0 0 0 5 6
Generalizations of simulation results: Practicality of statistical methods (Part one) 0 0 0 0 0 0 5 13
Generalized Response Surface Methodology: A New Metaheuristic 0 0 0 8 0 1 11 46
Generalized Response Surface Methodology: A New Metaheuristic 0 0 0 0 0 0 7 11
Generalizing simulation results through metamodels 0 0 0 1 0 1 6 8
Global Optimization for Black-box Simulation via Sequential Intrinsic Kriging 0 0 0 9 0 1 13 80
Global Optimization for Black-box Simulation via Sequential Intrinsic Kriging 0 0 0 0 0 0 3 5
Identifying the important factors in simulation models with many factors 0 0 0 0 0 0 7 10
Identifying the important factors in simulation models with many factors 0 0 0 41 0 0 8 634
Identifying the important factors in simulation models with many factors 0 0 0 0 0 0 7 10
Identifying the important factors in simulation models with many factors 0 0 0 1 0 0 9 26
Importance sampling in systems simulation: A practical failure? 0 0 0 0 0 2 10 26
Importance sampling in systems simulation: A practical failure? 0 0 0 0 0 0 8 11
Improved design of queuing simulation experiments with highly heteroscedastic responses 0 0 0 1 0 0 8 15
Improved design of queuing simulation experiments with highly heteroscedastic responses 0 0 0 2 0 1 7 17
Jackknifing estimated weighted least squares 0 0 0 0 0 0 11 13
Jackknifing estimated weighted least squares 0 0 0 1 0 0 6 21
Kriging Metamodeling in Simulation: A Review 0 0 1 5 0 0 9 27
Kriging Metamodeling in Simulation: A Review 0 0 0 23 0 1 4 109
Kriging for Interpolation in Random Simulation 0 0 0 11 0 1 6 45
Kriging for Interpolation in Random Simulation 0 0 0 1 0 0 2 7
Kriging in Multi-response Simulation, including a Monte Carlo Laboratory (Replaced by 2014-012) 0 0 0 20 0 0 5 89
Kriging in Multi-response Simulation, including a Monte Carlo Laboratory (Replaced by 2014-012) 0 0 0 0 0 0 3 6
Kriging: Methods and Applications 0 0 0 2 0 0 4 8
Kriging: Methods and Applications 0 0 0 29 0 1 5 47
Maximizing the simulation output: A competition 0 0 0 0 0 0 2 3
Measurement scales and resolution IV designs: A note (Version 3) 0 0 0 4 0 0 7 20
Measurement scales and resolution IV designs: A note (Version 3) 0 0 0 0 0 0 2 3
Measuring the Quality of Publications: New Methodology and Case Study 0 0 0 1 0 0 5 17
Measuring the Quality of Publications: New Methodology and Case Study 0 0 0 1 0 1 4 8
Methodology for Determining the Acceptability of Given Designs in Uncertain Environments 0 0 0 0 0 0 3 8
Methodology for Determining the Acceptability of Given Designs in Uncertain Environments 0 0 0 1 0 0 3 15
Methodology for determining the acceptability of system designs in uncertain environments 0 0 0 1 0 0 4 40
Minimizing waiting times using priority classes: A case study in response surface methodology 0 0 0 0 0 1 2 4
Monotonicity-Preserving Bootstrapped Kriging Metamodels for Expensive Simulations 0 0 0 0 0 0 4 9
Monotonicity-Preserving Bootstrapped Kriging Metamodels for Expensive Simulations 0 0 0 1 0 1 8 30
Monotonicity-preserving bootstrapped kriging metamodels for expensive simulations 0 0 0 2 0 0 7 21
Monte Carlo sampling and variance reduction techniques 0 0 0 0 0 0 5 5
Monte Carlo sampling and variance reduction techniques 0 0 0 2 0 1 5 19
Multivariate Versus Univariate Kriging Metamodels for Multi-Response Simulation Models (Revision of 2012-039) 0 0 0 0 0 1 9 19
Multivariate Versus Univariate Kriging Metamodels for Multi-Response Simulation Models (Revision of 2012-039) 0 0 0 23 0 1 6 58
New entrants and the role of information technology: Case study: The Tele-Flower Auction in The Netherlands 0 0 0 0 0 0 6 21
New species of hybrid pull systems 0 0 0 0 0 0 4 7
New species of hybrid pull systems 0 0 0 2 0 1 7 21
On the interpretation of variables 0 0 0 0 0 1 3 4
On the interpretation of variables 0 0 0 0 0 0 3 12
Operations research and computers 0 0 0 0 0 1 11 13
Operations research and computers 0 0 0 1 0 1 14 31
Optimal design of experiments with simulation models of nearly saturated queues 0 0 0 0 0 0 1 4
Optimal design of experiments with simulation models of nearly saturated queues 0 0 0 0 0 0 1 9
Optimal design of simulation experiments with nearly saturated queues 0 0 0 0 0 0 1 3
Optimal design of simulation experiments with nearly saturated queues 0 0 0 3 0 0 4 10
Optimization Versus Robustness in Simulation: A Practical Methodology, With a Production-Management Case-Study 0 0 0 4 1 1 9 24
Optimization Versus Robustness in Simulation: A Practical Methodology, With a Production-Management Case-Study 0 0 0 0 0 0 2 3
Optimization and Sensitivity Analysis of Computer Similation Models by the Score Function Method 0 0 0 0 0 0 10 404
Optimization and sensitivity analysis of computer simulation models by the score function method 0 0 0 4 0 0 3 25
Optimization and sensitivity analysis of computer simulation models by the score function method 0 0 0 1 0 0 7 10
Optimization of Simulated Inventory Systems: OptQuest and Alternatives 0 0 0 0 0 0 5 7
Optimization of Simulated Inventory Systems: OptQuest and Alternatives 0 0 0 12 0 1 12 62
Optimization of System Dynamics Models: a Novel Methodology 0 0 0 0 0 0 4 6
Optimization of System Dynamics Models: a Novel Methodology 0 0 0 3 0 1 4 10
Parametric and distribution-free bootstrapping in robust simulation-optimization 0 0 0 1 0 0 7 15
Prediction for Big Data through Kriging: Small Sequential and One-Shot Designs 0 0 0 41 0 0 8 50
Prediction for Big Data through Kriging: Small Sequential and One-Shot Designs 0 0 0 0 0 0 5 7
Pseudorandom number generation on supercomputers 0 0 0 0 0 1 8 8
Pseudorandom number generation on supercomputers 0 0 0 0 0 0 10 21
Pseudorandom number generators revisited 0 0 0 0 0 0 9 10
Pseudorandom number generators revisited 0 0 0 0 0 0 2 12
Quantile estimation in regenerative simulation: A case study 0 0 0 0 0 1 2 3
Regression Models and Experimental Designs: A Tutorial for Simulation Analaysts 0 0 0 6 0 1 5 29
Regression Models and Experimental Designs: A Tutorial for Simulation Analaysts 0 0 0 0 0 0 10 13
Regression analysis for simulation practitioners 0 0 0 0 0 0 3 10
Regression analysis for simulation practitioners 0 0 0 0 0 0 3 4
Regression analysis of factoral designs with sequential replication 0 0 0 1 0 1 9 16
Regression analysis of factoral designs with sequential replication 0 0 0 0 0 0 3 5
Regression analysis of simulation experiments: Functional software specification 0 0 0 0 0 0 9 19
Regression analysis of simulation experiments: Functional software specification 0 0 0 0 0 0 8 10
Regression analysis: Assumptions, alternatives, applications 0 0 0 0 0 0 9 10
Regression analysis: Assumptions, alternatives, applications 0 0 0 4 0 0 6 27
Regression and Kriging Metamodels with Their Experimental Designs in Simulation: Review 0 0 0 53 0 1 12 117
Regression and Kriging Metamodels with Their Experimental Designs in Simulation: Review 0 0 0 2 0 1 14 31
Regression estimators in simulation 0 0 0 0 0 0 3 10
Regression estimators in simulation 0 0 0 0 0 0 5 6
Regression metamodel summarization of model behaviour 0 0 0 0 0 1 4 19
Regression metamodel summarization of model behaviour 0 0 0 0 0 0 4 4
Regression metamodels for simulation with common random numbers: Comparison of techniques 0 0 0 1 0 0 7 15
Regression metamodels for simulation with common random numbers: Comparison of techniques 0 0 0 0 0 0 2 3
Regression sampling in statistical auditing 0 0 0 0 1 2 7 7
Regression sampling in statistical auditing 0 0 0 6 0 1 6 38
Response Surface Methodology 0 0 1 5 1 5 29 46
Response Surface Methodology 0 0 0 65 0 1 10 264
Response Surface Methodology's Steepest Ascent and Step Size Revisited 0 0 1 12 0 0 11 149
Response Surface Methodology's Steepest Ascent and Step Size Revisited 0 0 0 0 0 1 4 12
Robust Optimization in Simulation: Taguchi and Krige Combined 0 0 0 0 0 0 5 9
Robust Optimization in Simulation: Taguchi and Krige Combined 0 0 0 6 1 2 11 47
Robust Optimization in Simulation: Taguchi and Response Surface Methodology 0 0 0 4 0 0 8 42
Robust Optimization in Simulation: Taguchi and Response Surface Methodology 0 0 0 0 0 0 6 10
Robust optimization in simulation: Taguchi and Response Surface Methodology 0 0 0 10 0 0 5 45
Sampling for quality inspection and correction: AOQL performance criteria 0 0 0 0 0 0 4 32
Sampling for quality inspection and correction: AOQL performance criteria 0 0 0 0 0 0 5 6
Sampling for quality inspection and correction: AOQL performance criteria (Version 3) 0 0 0 0 0 0 4 32
Sampling for quality inspection and correction: AOQL performance criteria (Version 3) 0 0 0 0 0 1 3 4
Scoring methods, multiple criteria, and utility analysis 0 0 0 0 0 0 8 9
Scoring methods, multiple criteria, and utility analysis 0 0 0 0 0 1 13 30
Screening Experiments for Simulation: A Review 0 0 0 0 0 1 8 9
Screening Experiments for Simulation: A Review 0 0 0 3 0 1 10 28
Sealed-Bid Auction of Dutch Mussels: Statistical Analysis 0 0 0 0 0 1 4 4
Sealed-Bid Auction of Dutch Mussels: Statistical Analysis 0 0 0 3 0 0 6 29
Sealed-Bid Auctions: Case Study 0 0 0 0 0 0 8 8
Sealed-Bid Auctions: Case Study 0 0 0 2 0 1 5 27
Selecting random number seeds in practice 0 0 0 0 0 0 4 5
Selecting random number seeds in practice 0 0 0 0 0 2 7 14
Sensitivity Analysis of Censored Output Through Polynomial, Logistic and Tobit Regression Meta-Models: Theory and Case Study 0 0 0 0 0 1 7 14
Sensitivity Analysis of Censored Output Through Polynomial, Logistic and Tobit Regression Meta-Models: Theory and Case Study 0 0 0 4 0 0 6 24
Sensitivity Analysis of Simulation Models 0 0 0 12 0 1 8 45
Sensitivity Analysis of Simulation Models 0 0 0 0 1 1 5 13
Sensitivity analysis and optimization of system dynamics models: Regression analysis and statistical design of experiments 0 0 0 0 0 1 12 18
Sensitivity analysis and optimization of system dynamics models: Regression analysis and statistical design of experiments 0 0 0 50 0 0 12 173
Sensitivity analysis and related analysis: A survey of statistical techniques 0 0 0 0 0 0 7 10
Sensitivity analysis and related analysis: A survey of statistical techniques 0 0 0 27 0 0 4 127
Sensitivity analysis of simulation experiments: Regression analysis and statistical design 0 0 0 0 0 1 3 6
Sensitivity analysis of simulation experiments: Regression analysis and statistical design 0 0 0 10 0 0 5 48
Sensitivity analysis of simulation experiments: Tutorial on regression analysis and statistical design 0 0 0 1 0 0 3 27
Sensitivity analysis of simulation experiments: Tutorial on regression analysis and statistical design 0 0 0 0 0 1 7 7
Sequential Probability Ration Tests: Conservative and Robust 0 0 0 32 0 0 4 41
Sequential Probability Ration Tests: Conservative and Robust 0 0 0 1 0 0 5 10
Short-Term Robustness of Production Management Systems: New Methodology 0 0 0 0 1 1 4 10
Short-Term Robustness of Production Management Systems: New Methodology 0 0 0 0 0 0 2 5
Short-term robustness of production management systems 0 0 0 6 0 0 6 39
Short-term robustness of production management systems 0 0 0 0 0 0 5 6
Simulatie 0 0 0 0 0 0 4 5
Simulation Experiments in Practice: Statistical Design and Regression Analysis 0 0 0 0 0 1 10 13
Simulation Experiments in Practice: Statistical Design and Regression Analysis 0 0 0 0 0 1 7 9
Simulation Experiments in Practice: Statistical Design and Regression Analysis 0 0 0 1 0 0 6 23
Simulation Experiments in Practice: Statistical Design and Regression Analysis 0 0 0 8 0 0 7 33
Simulation Optimization through Regression or Kriging Metamodels 0 0 0 17 0 1 8 37
Simulation Optimization through Regression or Kriging Metamodels 0 0 0 0 0 1 6 9
Simulation and optimization in production planning: A case study (Version 2) 0 0 0 5 0 0 5 28
Simulation and optimization in production planning: A case study (Version 2) 0 0 0 0 0 0 2 8
Simulation in the evaluation of management information systems: An overview and evaluation 0 0 0 0 0 0 1 4
Simulation in the evaluation of management information systems: An overview and evaluation 0 0 0 0 0 1 5 29
Simulation with too many factors: Review of random and group-screening designs 0 0 0 1 0 0 8 21
Simulation with too many factors: Review of random and group-screening designs 0 0 0 0 0 1 5 7
Simulation-Optimization via Kriging and Bootstrapping: A Survey (Revision of CentER DP 2011-064) 0 0 0 1 0 2 9 17
Simulation-Optimization via Kriging and Bootstrapping: A Survey (Revision of CentER DP 2011-064) 0 0 0 23 0 1 5 55
Small-jobs-first: A combined queuing, simulation, and regression analysis 0 0 0 0 0 0 6 7
Small-jobs-first: A combined queuing, simulation, and regression analysis 0 0 0 2 0 1 4 21
Statistical Analysis of Random Simulations: Bootstrap Tutorial 0 0 0 13 0 0 12 57
Statistical Analysis of Random Simulations: Bootstrap Tutorial 0 0 0 0 0 0 3 4
Statistical Testing of Optimality Conditions in Multiresponse Simulation-Based Optimization (Replaced by Discussion Paper 2007-45) 0 0 0 0 0 0 5 7
Statistical Testing of Optimality Conditions in Multiresponse Simulation-Based Optimization (Replaced by Discussion Paper 2007-45) 0 0 0 2 0 0 10 30
Statistical Testing of Optimality Conditions in Multiresponse Simulation-based Optimization (Revision of 2005-81) 0 0 0 0 0 0 6 34
Statistical Testing of Optimality Conditions in Multiresponse Simulation-based Optimization (Revision of 2005-81) 0 0 0 0 0 0 1 3
Statistical Tests for Cross-Validation of Kriging Models 0 0 1 34 0 0 25 64
Statistical Tests for Cross-Validation of Kriging Models 0 0 0 0 0 0 12 14
Statistical analysis of steady-state simulations: Survey of recent progress 0 0 0 2 0 0 1 17
Statistical analysis of steady-state simulations: Survey of recent progress 0 0 0 0 0 0 3 4
Statistical aspects of simulation: An updated survey 0 0 0 0 0 0 4 4
Statistical aspects of simulation: An updated survey 0 0 0 1 0 0 1 7
Statistical validation of simulation models: A case study 0 0 0 5 0 0 7 29
Statistical validation of simulation models: A case study 0 0 0 0 0 0 8 13
Statistics and deterministic simulation models: Why not? 0 0 0 2 0 0 5 16
Statistics and deterministic simulation models: Why not? 0 0 0 0 0 0 3 4
Stochastic Intrinsic Kriging for Simulation Metamodelling 0 0 0 0 0 1 10 16
Stochastic Intrinsic Kriging for Simulation Metamodelling 0 0 0 26 0 0 7 69
Stochastic Intrinsic Kriging for Simulation Metamodelling 0 0 0 0 0 0 11 18
Stochastic Intrinsic Kriging for Simulation Metamodelling 0 0 0 15 0 0 6 55
Supercomputers, Monte Carlo simulation and regression analysis 0 0 0 0 0 0 9 10
Supercomputers, Monte Carlo simulation and regression analysis 0 0 0 3 0 0 6 37
Superefficient estimation of power functions in simulation experiments 0 0 0 0 0 1 8 12
Superefficient estimation of power functions in simulation experiments 0 0 0 0 0 0 8 9
Supply Chain Simulation: A Survey 0 0 0 9 0 0 4 53
Supply Chain Simulation: A Survey 0 0 0 1 0 0 5 18
Techniques for sensitivity analysis of simulation models: A case study of the CO2 greenhouse effect 0 0 0 0 0 0 5 6
Techniques for sensitivity analysis of simulation models: A case study of the CO2 greenhouse effect 0 0 0 1 0 0 2 33
Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034) 0 0 0 0 0 0 7 9
Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034) 0 0 0 19 0 0 10 51
Testing the mean of an asymmetric population: Johnson's modified t test revisited 0 0 0 17 0 0 4 73
Testing the mean of an asymmetric population: Johnson's modified t test revisited 0 0 0 0 0 0 4 6
The Correct Kriging Variance Estimated by Bootstrapping 0 0 0 17 0 0 5 71
The Correct Kriging Variance Estimated by Bootstrapping 0 0 0 1 0 0 9 14
The Cost of Risk-Aversion In Inventory Management: An (s,S) Case Study 0 0 0 3 0 1 6 8
The Cost of Risk-Aversion In Inventory Management: An (s,S) Case Study 0 0 0 2 1 1 9 14
The power of weighted and ordinary least squares with estimated unequal variances in experimental design 0 0 0 0 0 0 4 11
The power of weighted and ordinary least squares with estimated unequal variances in experimental design 0 0 0 1 0 0 4 6
The role of statistical methodology in simulation 0 0 0 0 0 1 5 5
The role of statistical methodology in simulation 0 0 0 1 0 0 9 22
Timeliness of information: A basic model 0 0 0 5 0 0 2 26
Timeliness of information: A basic model 0 0 0 0 0 0 2 3
Two-stage versus sequential sample-size determination in regression analysis of simulation experiments 0 0 0 0 0 0 3 4
Two-stage versus sequential sample-size determination in regression analysis of simulation experiments 0 0 0 0 0 0 7 17
Two-stage versus sequential sample-size determination in regression analysis of simulation experiments 0 0 0 0 2 3 13 17
Two-stage versus sequential sample-size determination in regression analysis of simulation experiments 0 0 0 1 0 1 7 22
Validating the Assumptions of Sequential Bifurcation in Factor Screening 0 0 0 19 0 0 6 41
Validating the Assumptions of Sequential Bifurcation in Factor Screening 0 0 0 0 0 0 9 12
Validation of Models: Statistical Techniques and Data Availability 0 0 0 5 0 0 4 33
Validation of Models: Statistical Techniques and Data Availability 0 0 0 0 0 0 5 6
Validation of Simulation Models: Regression Analysis Revisited 0 0 0 0 0 0 7 10
Validation of Simulation Models: Regression Analysis Revisited 0 0 0 4 0 1 7 27
Validation of Simulation, With and Without Real Data 0 0 1 1 0 0 4 7
Validation of Simulation, With and Without Real Data 0 1 1 9 0 1 10 33
Validation of simulation models: Mine-hunting case-study 0 0 0 4 0 0 8 23
Validation of simulation models: Mine-hunting case-study 0 0 0 0 0 0 5 8
Variance Reduction Techniques in Monte Carlo Methods 0 0 0 0 0 1 2 3
Variance Reduction Techniques in Monte Carlo Methods 0 0 0 9 0 3 9 42
Variance heterogeneity in experimental design 0 0 0 3 0 0 8 22
Variance heterogeneity in experimental design 0 0 0 0 0 0 5 5
Vector computers, Monte Carlo simulation, and regression analysis: An introduction (Version 2) 0 0 0 0 0 0 1 1
Vector computers, Monte Carlo simulation, and regression analysis: An introduction (Version 2) 0 0 0 1 0 0 4 21
Verification and validation of models 0 0 0 0 0 0 6 17
Verification and validation of models 0 0 0 0 0 0 1 5
Verification and validation of simulation models 0 0 0 1 0 0 7 16
Verification and validation of simulation models 0 1 2 6 1 2 12 42
When is the design of a manufacturing system acceptable in the presence of uncertainty? 0 0 0 0 0 1 5 13
White Noise Assumptions Revisited: Regression Models and Statistical Designs for Simulation Practice 0 0 0 1 0 0 10 12
White Noise Assumptions Revisited: Regression Models and Statistical Designs for Simulation Practice 0 0 0 6 0 0 3 43
Total Working Papers 0 2 8 1,285 17 122 1,933 8,137

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 0 0 8 30
A methodology for fitting and validating metamodels in simulation 0 0 1 75 1 1 11 224
A methodology to customize pull control systems 0 0 0 0 0 0 6 6
An overview of the design and analysis of simulation experiments for sensitivity analysis 0 0 1 48 0 4 14 146
Analysis and comparison of two strategies for multi-item inventory systems with joint replenishment costs 0 0 0 29 0 0 5 70
Analyzing Simulation Experiments with Common Random Numbers 0 0 0 6 1 1 6 24
Antithetic Variates, Common Random Numbers and Optimal Computer Time Allocation in Simulation 0 0 0 3 0 0 6 36
Application-driven sequential designs for simulation experiments: Kriging metamodelling 0 0 0 1 0 0 14 34
Bootstrapping to solve the limited data problem in production control: an application in batch process industries 0 0 0 0 0 1 6 15
Classic Kriging versus Kriging with bootstrapping or conditional simulation: classic Kriging’s robust confidence intervals and optimization 0 0 0 1 0 0 5 19
Comment on Park et al.’s “Robust Kriging in computer experiments” 0 0 0 6 1 1 5 32
Communication--An Extension of Gitlow's Methodology for Designing Abortion Clinics 0 0 0 0 0 0 4 8
Communication: Reply to Fox and Schruben 0 0 0 1 0 1 8 22
Constrained optimization in expensive simulation: Novel approach 0 0 0 18 1 2 10 102
Cross-validation using the t statistic 0 0 0 12 0 1 3 64
Customized sequential designs for random simulation experiments: Kriging metamodeling and bootstrapping 0 0 0 26 0 1 13 88
Deterministic versus stochastic sensitivity analysis in investment problems: An environmental case study 0 0 0 23 0 0 10 117
Een toepassing van “importance sampling” 0 0 0 0 0 0 10 11
Efficient global optimisation for black-box simulation via sequential intrinsic Kriging 0 0 0 0 0 0 8 15
Ethical issues in modeling: Some reflections 0 0 0 25 0 1 13 177
Evaluation of management information systems 0 0 0 56 0 0 3 167
Expected improvement in efficient global optimization through bootstrapped kriging 0 0 0 5 0 0 11 94
Experimental design and regression analysis in simulation: An FMS case study 0 0 0 97 0 0 5 338
Factor screening for simulation with multiple responses: Sequential bifurcation 0 0 0 4 0 0 7 32
Generalization of simulation results practicality of statistical methods 0 0 0 23 0 0 8 83
Improved Design of Queueing Simulation Experiments with Highly Heteroscedastic Responses 0 0 0 0 0 0 6 12
Information Systems in Management Science---Bayesian Information Economics: An Evaluation 0 0 0 2 1 1 6 11
Kriging for interpolation in random simulation 0 0 0 0 0 0 7 17
Kriging metamodeling in simulation: A review 0 1 3 84 0 7 36 407
Methodology for determining the acceptability of system designs in uncertain environments 0 0 0 5 0 1 6 58
Monotonicity-preserving bootstrapped Kriging metamodels for expensive simulations 0 0 0 0 2 2 11 24
Multivariate versus univariate Kriging metamodels for multi-response simulation models 0 0 0 8 2 2 13 58
Operations Research 2004 Meritorious Service Award Recipients and Appreciation to 2004 Referees 0 0 0 0 1 1 9 16
Optimization and sensitivity analysis of computer simulation models by the score function method 0 0 1 11 0 0 6 72
Performance metrics in supply chain management 0 0 1 7 0 0 8 55
Pseudorandom number generators for supercomputers and classical computers: A practical introduction 0 0 0 6 0 0 8 37
Regression Metamodels for Simulation with Common Random Numbers: Comparison of Validation Tests and Confidence Intervals 0 0 0 8 0 0 9 59
Regression Sampling in Statistical Auditing: A Practical Survey and Evaluation 0 0 1 2 0 1 8 12
Regression and Kriging metamodels with their experimental designs in simulation: A review 0 1 4 39 1 3 18 215
Response surface methodology with stochastic constraints for expensive simulation 0 0 0 3 0 1 8 26
Response surface methodology's steepest ascent and step size revisited 0 0 0 32 0 0 15 179
Response surface methodology's steepest ascent and step size revisited: Correction 0 0 0 18 1 3 9 88
Robust dual-response optimization 0 0 1 4 0 0 14 40
Robust optimization in simulation: Taguchi and Response Surface Methodology 0 0 1 39 0 0 17 162
Robustness of Kriging when interpolating in random simulation with heterogeneous variances: Some experiments 0 0 0 36 0 0 3 111
Sampling for quality inspection and correction: AOQL performance criteria 0 0 0 56 0 0 5 319
Sealed-bid auction of Netherlands mussels: Statistical analysis 0 0 0 11 1 1 11 90
Searching for important factors in simulation models with many factors: Sequential bifurcation 0 0 0 57 0 0 4 155
Sensitivity analysis by experimental design and metamodelling: Case study on simulation in national animal disease control 0 0 0 25 0 0 9 84
Sensitivity analysis of simulation experiments: regression analysis and statistical design 0 0 0 2 0 0 13 39
Short-term robustness of production management systems: A case study 0 0 0 22 0 0 3 90
Simulation with too many factors: review of random and group-screening designs 0 0 0 7 0 0 4 34
Simulation-optimization via Kriging and bootstrapping: a survey 0 0 0 0 1 1 7 8
Statistical Tests for Cross-Validation of Kriging Models 0 0 0 3 0 2 15 19
Statistical analysis of steady-state simulations: survey of recent progress 0 0 0 7 0 0 10 44
Statistical aspects of simulation: an updated survey* 0 0 0 0 0 0 8 13
Statistical testing of optimality conditions in multiresponse simulation-based optimization 0 0 0 10 0 1 9 75
Statistical validation of simulation models 0 0 0 24 0 0 9 90
Stochastic intrinsic Kriging for simulation metamodeling 0 0 0 1 0 0 14 29
Testing independence of simulation subruns: a note on the power of the Von Neumann test 0 0 0 7 0 0 6 36
The Use of Multiple Ranking Procedures to Analyze Simulations of Management Systems: A Tutorial 0 0 0 1 0 0 4 12
The correct Kriging variance estimated by bootstrapping 0 0 1 5 0 2 13 27
Validation of Trace-Driven Simulation Models: A Novel Regression Test 0 0 0 2 0 0 11 54
Validation of Trace-Driven Simulation Models: Bootstrap Tests 0 0 0 6 0 1 10 50
Validation of regression metamodels in simulation: Bootstrap approach 0 0 0 22 0 0 6 82
Validation of simulation model for robotic milking barn design 0 0 0 23 0 0 9 139
Vector Computers, Monte Carlo Simulation and Regression Analysis: An Introduction 0 0 0 4 0 0 11 52
Verification and validation of simulation models 0 0 3 252 0 0 32 873
Total Journal Articles 0 2 18 1,315 14 44 639 6,027
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 1 4 21 45
Design and Analysis of Simulation Experiments 0 0 0 2 2 3 16 58
Total Books 0 0 0 2 3 7 37 103

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 0 3 4
Classic Regression Metamodels and Their Designs 0 0 0 0 0 0 7 11
Classic assumptions revisited 0 0 0 0 0 0 3 4
Epilogue 0 0 0 0 0 0 4 4
Factor Screening in Simulation Experiments: Review of Sequential Bifurcation 0 0 0 0 0 0 11 25
Introduction 0 0 0 0 0 0 4 4
Introduction 0 0 0 0 0 0 2 3
Kriging Metamodels and Their Designs 0 0 0 0 0 0 11 15
Kriging metamodels 0 0 0 0 0 0 3 6
Low-order polynomial regression metamodels and their designs: basics 0 0 0 0 0 0 8 10
Response Surface Methodology 0 0 0 0 0 3 19 35
Screening designs 0 0 0 0 0 0 5 8
Screening the Many Inputs of Realistic Simulation Models 0 0 0 1 0 0 6 9
Simulation Optimization 0 0 0 0 0 0 3 7
Simulation optimization 0 0 1 1 0 0 5 9
Total Chapters 0 0 1 2 0 3 94 154

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