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 0 0 1 1 1
A DSS for production planning: A case study including simulation and optimization 0 0 0 11 0 3 4 39
A Methodology for Fitting and Validating Metamodels in Simulation 0 0 0 1 0 4 6 13
A Methodology for Fitting and Validating Metamodels in Simulation 0 0 0 14 0 2 5 74
A User's Guide to the Brave New World of Designing Simulation Experiments 0 0 0 5 1 6 8 46
A User's Guide to the Brave New World of Designing Simulation Experiments 0 0 0 1 1 4 6 15
A scenario for sequential experimentation 0 0 0 0 0 1 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 0 0 2 4 7
Adjustable Robust Parameter Design with Unknown Distributions 0 0 0 6 0 5 6 46
An Overview of the Design and Analysis of Simulation Experiments for Sensitivity Analysis 0 0 0 0 1 5 10 18
An Overview of the Design and Analysis of Simulation Experiments for Sensitivity Analysis 0 0 0 17 1 6 7 64
An asymptotic test of optimality conditions in multiresponse simulation optimization 0 0 0 4 0 4 7 34
Analysis and comparison of two strategies for multi-item inventory systems with joint replenishment costs 0 0 0 9 1 6 8 43
Analysis and comparison of two strategies for multi-item inventory systems with joint replenishment costs 0 0 0 0 0 2 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 2 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 1 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 3 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 0 0 2 3 5
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 1 5 6 71
Computers and operations research: A survey 0 0 0 0 1 2 3 5
Conditional simulation for efficient global optimization 0 0 0 4 2 2 6 20
Configuring a pull production control strategy through a generic model 0 0 0 0 0 1 1 1
Configuring a pull production control strategy through a generic model 0 0 0 4 1 2 4 19
Constrained Optimization in Random Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions 0 0 0 2 0 1 2 5
Constrained Optimization in Random Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions 0 0 0 4 0 3 3 3
Constrained Optimization in Simulation: A Novel Approach 0 0 0 6 0 8 14 39
Constrained Optimization in Simulation: A Novel Approach 0 0 0 0 1 3 5 9
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 4 6 11
Constrained Optimization in Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions (revision of 2021-031) 0 0 0 6 0 11 15 36
Constrained Optimization in Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions (revision of 2021-031) 0 0 0 0 0 3 6 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 3 8 11
Constrained optimization in Random Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions (Revision of CentER DP 2022-022) 0 0 0 5 1 5 6 7
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 1 2 16
Convex and Monotonic Bootstrapped Kriging 0 0 0 1 0 4 6 9
Convex and monotonic bootstrapped kriging 0 0 0 1 0 2 4 14
Cross-validation using the t statistic 0 0 0 0 0 3 3 4
Cross-validation using the t statistic 0 0 0 0 0 2 2 9
Customized Pull Systems for Single-Product Flow Lines 0 0 0 9 0 0 0 28
Customized Pull Systems for Single-Product Flow Lines 0 0 0 0 0 0 4 9
Customized Sequential Designs for Random Simulation Experiments: Kriging Metamodelling and Bootstrapping 0 0 0 10 1 5 6 66
Customized Sequential Designs for Random Simulation Experiments: Kriging Metamodelling and Bootstrapping 0 0 0 0 0 5 6 9
Customized Sequential Designs for Random Simulation Experiments: Kriging Metamodelling and Bootstrapping 0 0 0 2 1 3 4 18
Customized Sequential Designs for Random Simulation Experiments: Kriging Metamodelling and Bootstrapping 0 0 0 0 1 1 4 6
De rol van simulatie in de algemene econometrie 0 0 0 0 1 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 1 2 2 11
Design and Analysis of Monte Carlo Experiments 0 0 0 0 1 4 5 8
Design and Analysis of Monte Carlo Experiments 0 0 0 5 0 2 4 23
Design and Analysis of simulation experiments: Tutorial 0 0 0 0 0 3 4 5
Design and Analysis of simulation experiments: Tutorial 0 0 0 65 1 4 4 53
Design of Experiments: An Overview 0 0 0 6 1 6 8 27
Design of Experiments: An Overview 0 0 0 0 0 3 4 6
Design of simulation experiments 0 0 0 0 0 4 4 12
Design of simulation experiments 0 0 0 0 0 2 3 4
Deterministic versus Stochastic Sensitivity Analysis in Investment Problems: An Environmental Case Study 0 0 0 0 1 5 7 9
Deterministic versus Stochastic Sensitivity Analysis in Investment Problems: An Environmental Case Study 0 0 0 12 0 2 2 56
Economic framework for information systems 0 0 0 0 0 0 1 2
Economic framework for information systems 0 0 0 12 0 3 9 43
Een toepassing van "importance sampling" 0 0 0 0 0 3 3 3
Efficient Global Optimization for Black-Box Simulation via Sequential Intrinsic Kriging 0 0 0 12 1 8 12 78
Efficient Global Optimization for Black-Box Simulation via Sequential Intrinsic Kriging 0 0 0 0 0 4 5 8
Efficient estimation of power functions 0 0 0 0 0 2 6 16
Efficient estimation of power functions 0 0 0 0 0 2 3 3
Efficient global optimization and the zero-gradient condition, in expensive simulation 0 0 0 1 1 3 6 9
Estimating the Variance of the Predictor in Stochastic Kriging 0 0 0 0 2 6 10 12
Estimating the Variance of the Predictor in Stochastic Kriging 0 0 0 10 0 2 3 48
Ethical Issues in Engineering Models: Personal Reflections 0 0 0 2 0 6 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 1 6 7 11
Expected Improvement in Efficient Global Optimization Through Bootstrapped Kriging - Replaces CentER DP 2010-62 0 0 0 0 0 3 6 29
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 1 2 0 1 4 9
Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models 0 0 0 80 0 1 2 183
Experimental design and regression analysis in simulation: An FMS case study 0 0 0 1 4 9 9 37
Experimental design and regression analysis in simulation: An FMS case study 0 0 0 0 0 4 5 11
Factor Screening For Simulation With Multiple Responses: Sequential Bifurcation 0 0 0 1 0 4 6 11
Factor Screening For Simulation With Multiple Responses: Sequential Bifurcation 0 0 0 3 0 3 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 0 6 7 44
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 1 1 1 13
Generalizations of simulation results: Practicality of statistical methods (Part one) 0 0 0 0 0 1 4 12
Generalizations of simulation results: Practicality of statistical methods (Part one) 0 0 0 0 0 3 3 4
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 0 3 4 8
Generalizing simulation results through metamodels 0 0 0 1 0 3 5 6
Global Optimization for Black-box Simulation via Sequential Intrinsic Kriging 0 0 0 9 0 9 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 41 0 2 5 631
Identifying the important factors in simulation models with many factors 0 0 0 1 4 5 8 25
Identifying the important factors in simulation models with many factors 0 0 0 0 0 3 6 9
Identifying the important factors in simulation models with many factors 0 0 0 0 0 3 5 7
Importance sampling in systems simulation: A practical failure? 0 0 0 0 0 4 5 7
Importance sampling in systems simulation: A practical failure? 0 0 0 0 0 4 8 22
Improved design of queuing simulation experiments with highly heteroscedastic responses 0 0 0 1 2 4 6 12
Improved design of queuing simulation experiments with highly heteroscedastic responses 0 0 0 2 1 3 4 14
Jackknifing estimated weighted least squares 0 0 0 1 0 1 2 17
Jackknifing estimated weighted least squares 0 0 0 0 3 6 7 9
Kriging Metamodeling in Simulation: A Review 1 1 1 5 2 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 1 1 0 1 2 6
Kriging for Interpolation in Random Simulation 0 0 0 11 0 1 3 42
Kriging in Multi-response Simulation, including a Monte Carlo Laboratory (Replaced by 2014-012) 0 0 0 0 0 1 1 4
Kriging in Multi-response Simulation, including a Monte Carlo Laboratory (Replaced by 2014-012) 0 0 0 20 1 2 3 86
Kriging: Methods and Applications 0 0 0 29 1 1 1 43
Kriging: Methods and Applications 0 0 0 2 1 2 3 7
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 1 1 2
Measuring the Quality of Publications: New Methodology and Case Study 0 0 0 1 1 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 1 1 2 14
Methodology for Determining the Acceptability of Given Designs in Uncertain Environments 0 0 0 0 1 3 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 5 7 28
Monotonicity-preserving bootstrapped kriging metamodels for expensive simulations 0 0 0 2 0 3 6 20
Monte Carlo sampling and variance reduction techniques 0 0 0 2 1 2 3 17
Monte Carlo sampling and variance reduction techniques 0 0 0 0 2 2 3 3
Multivariate Versus Univariate Kriging Metamodels for Multi-Response Simulation Models (Revision of 2012-039) 0 0 0 0 0 4 4 14
Multivariate Versus Univariate Kriging Metamodels for Multi-Response Simulation Models (Revision of 2012-039) 0 0 0 23 0 2 3 55
New entrants and the role of information technology: Case study: The Tele-Flower Auction in The Netherlands 0 0 0 0 1 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 0 1 1 4
On the interpretation of variables 0 0 0 0 1 1 1 2
On the interpretation of variables 0 0 0 0 1 2 2 11
Operations research and computers 0 0 0 0 1 2 7 9
Operations research and computers 0 0 0 1 0 5 7 24
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 1 5 6 21
Optimization and Sensitivity Analysis of Computer Similation Models by the Score Function Method 0 0 0 0 0 5 7 400
Optimization and sensitivity analysis of computer simulation models by the score function method 0 0 0 4 0 1 1 23
Optimization and sensitivity analysis of computer simulation models by the score function method 0 0 0 1 0 3 3 6
Optimization of Simulated Inventory Systems: OptQuest and Alternatives 0 0 0 0 0 1 3 5
Optimization of Simulated Inventory Systems: OptQuest and Alternatives 0 0 0 12 0 3 4 54
Optimization of System Dynamics Models: a Novel Methodology 0 0 0 3 0 1 2 7
Optimization of System Dynamics Models: a Novel Methodology 0 0 0 0 0 4 5 6
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 4 6 48
Prediction for Big Data through Kriging: Small Sequential and One-Shot Designs 0 0 0 0 0 1 3 4
Pseudorandom number generation on supercomputers 0 0 0 0 0 8 11 20
Pseudorandom number generation on supercomputers 0 0 0 0 0 1 6 6
Pseudorandom number generators revisited 0 0 0 0 0 1 2 11
Pseudorandom number generators revisited 0 0 0 0 0 3 4 4
Quantile estimation in regenerative simulation: A case study 0 0 0 0 0 0 2 2
Regression Models and Experimental Designs: A Tutorial for Simulation Analaysts 0 0 0 6 0 2 3 27
Regression Models and Experimental Designs: A Tutorial for Simulation Analaysts 0 0 0 0 0 3 8 11
Regression analysis for simulation practitioners 0 0 0 0 0 2 2 9
Regression analysis for simulation practitioners 0 0 0 0 0 1 2 3
Regression analysis of factoral designs with sequential replication 0 0 0 1 1 5 6 13
Regression analysis of factoral designs with sequential replication 0 0 0 0 0 2 2 4
Regression analysis of simulation experiments: Functional software specification 0 0 0 0 0 3 5 6
Regression analysis of simulation experiments: Functional software specification 0 0 0 0 0 1 3 13
Regression analysis: Assumptions, alternatives, applications 0 0 0 4 2 4 4 25
Regression analysis: Assumptions, alternatives, applications 0 0 0 0 0 6 7 8
Regression and Kriging Metamodels with Their Experimental Designs in Simulation: Review 0 0 0 53 0 2 7 112
Regression and Kriging Metamodels with Their Experimental Designs in Simulation: Review 0 0 0 2 3 7 10 27
Regression estimators in simulation 0 0 0 0 1 3 6 6
Regression estimators in simulation 0 0 0 0 0 2 2 9
Regression metamodel summarization of model behaviour 0 0 0 0 0 3 3 18
Regression metamodel summarization of model behaviour 0 0 0 0 0 3 3 3
Regression metamodels for simulation with common random numbers: Comparison of techniques 0 0 0 1 0 6 6 14
Regression metamodels for simulation with common random numbers: Comparison of techniques 0 0 0 0 0 2 2 3
Regression sampling in statistical auditing 0 0 0 6 0 3 3 35
Regression sampling in statistical auditing 0 0 0 0 0 1 1 1
Response Surface Methodology 0 0 0 65 1 5 7 261
Response Surface Methodology 0 0 2 4 2 7 12 26
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 0 0 3 3 7
Robust Optimization in Simulation: Taguchi and Krige Combined 0 0 0 6 0 4 5 41
Robust Optimization in Simulation: Taguchi and Response Surface Methodology 0 0 0 4 0 5 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 1 2 3 43
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 0 0 0 0 1 1 2 3
Sampling for quality inspection and correction: AOQL performance criteria (Version 3) 0 0 0 0 0 2 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 1 6 6 23
Scoring methods, multiple criteria, and utility analysis 0 0 0 0 1 4 5 6
Screening Experiments for Simulation: A Review 0 0 0 3 1 6 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 2 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 0 0 3 6 6
Sealed-Bid Auctions: Case Study 0 0 0 2 0 1 5 25
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 5 11
Sensitivity Analysis of Censored Output Through Polynomial, Logistic and Tobit Regression Meta-Models: Theory and Case Study 0 0 0 0 1 2 3 9
Sensitivity Analysis of Censored Output Through Polynomial, Logistic and Tobit Regression Meta-Models: Theory and Case Study 0 0 0 4 0 3 4 22
Sensitivity Analysis of Simulation Models 0 0 0 12 0 3 4 41
Sensitivity Analysis of Simulation Models 0 0 0 0 0 1 1 9
Sensitivity analysis and optimization of system dynamics models: Regression analysis and statistical design of experiments 0 0 1 50 0 4 10 169
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 1 27 0 2 4 125
Sensitivity analysis and related analysis: A survey of statistical techniques 0 0 0 0 0 7 7 10
Sensitivity analysis of simulation experiments: Regression analysis and statistical design 0 0 0 0 0 2 2 5
Sensitivity analysis of simulation experiments: Regression analysis and statistical design 0 0 0 10 2 3 7 48
Sensitivity analysis of simulation experiments: Tutorial on regression analysis and statistical design 0 0 0 0 0 1 3 3
Sensitivity analysis of simulation experiments: Tutorial on regression analysis and statistical design 0 0 0 1 0 1 3 26
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 2 3 40
Short-Term Robustness of Production Management Systems: New Methodology 0 0 0 0 0 0 0 3
Short-Term Robustness of Production Management Systems: New Methodology 0 0 0 0 0 2 2 8
Short-term robustness of production management systems 0 0 0 0 1 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 1 1 4 6
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 8 0 2 6 31
Simulation Experiments in Practice: Statistical Design and Regression Analysis 0 0 0 0 0 2 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 5 7 35
Simulation and optimization in production planning: A case study (Version 2) 0 0 0 0 0 0 0 6
Simulation and optimization in production planning: A case study (Version 2) 0 0 0 5 1 3 4 27
Simulation in the evaluation of management information systems: An overview and evaluation 0 0 0 0 0 1 2 4
Simulation in the evaluation of management information systems: An overview and evaluation 0 0 0 0 0 2 2 26
Simulation with too many factors: Review of random and group-screening designs 0 0 0 0 0 2 4 5
Simulation with too many factors: Review of random and group-screening designs 0 0 0 1 0 4 5 18
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 2 4 12
Small-jobs-first: A combined queuing, simulation, and regression analysis 0 0 0 2 0 2 2 19
Small-jobs-first: A combined queuing, simulation, and regression analysis 0 0 0 0 0 2 2 3
Statistical Analysis of Random Simulations: Bootstrap Tutorial 0 0 0 0 0 2 2 3
Statistical Analysis of Random Simulations: Bootstrap Tutorial 0 0 0 13 0 5 10 55
Statistical Testing of Optimality Conditions in Multiresponse Simulation-Based Optimization (Replaced by Discussion Paper 2007-45) 0 0 0 2 1 7 9 28
Statistical Testing of Optimality Conditions in Multiresponse Simulation-Based Optimization (Replaced by Discussion Paper 2007-45) 0 0 0 0 1 2 3 5
Statistical Testing of Optimality Conditions in Multiresponse Simulation-based Optimization (Revision of 2005-81) 0 0 0 0 0 2 4 32
Statistical Testing of Optimality Conditions in Multiresponse Simulation-based Optimization (Revision of 2005-81) 0 0 0 0 0 1 1 3
Statistical Tests for Cross-Validation of Kriging Models 0 0 1 34 8 14 17 56
Statistical Tests for Cross-Validation of Kriging Models 0 0 0 0 1 5 9 11
Statistical analysis of steady-state simulations: Survey of recent progress 0 0 0 0 0 2 2 3
Statistical analysis of steady-state simulations: Survey of recent progress 0 0 0 2 0 0 0 16
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 1 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 2 5 7 12
Statistics and deterministic simulation models: Why not? 0 0 0 0 0 1 2 3
Statistics and deterministic simulation models: Why not? 0 0 0 2 0 1 2 13
Stochastic Intrinsic Kriging for Simulation Metamodelling 0 0 0 0 0 3 7 12
Stochastic Intrinsic Kriging for Simulation Metamodelling 0 0 0 0 1 7 7 13
Stochastic Intrinsic Kriging for Simulation Metamodelling 0 0 0 15 0 2 6 54
Stochastic Intrinsic Kriging for Simulation Metamodelling 0 0 0 26 0 5 7 69
Supercomputers, Monte Carlo simulation and regression analysis 0 0 0 3 2 4 4 35
Supercomputers, Monte Carlo simulation and regression analysis 0 0 0 0 1 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 1 3 6 10
Supply Chain Simulation: A Survey 0 0 0 1 0 3 6 17
Supply Chain Simulation: A Survey 0 0 0 9 0 0 1 50
Techniques for sensitivity analysis of simulation models: A case study of the CO2 greenhouse effect 0 0 0 1 1 1 1 32
Techniques for sensitivity analysis of simulation models: A case study of the CO2 greenhouse effect 0 0 0 0 1 3 3 4
Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034) 0 0 0 0 0 5 6 8
Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034) 0 0 0 19 0 4 9 50
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 0 0 1 3
The Correct Kriging Variance Estimated by Bootstrapping 0 0 0 17 0 2 4 69
The Correct Kriging Variance Estimated by Bootstrapping 0 0 0 1 0 3 5 10
The Cost of Risk-Aversion In Inventory Management: An (s,S) Case Study 0 0 0 3 1 3 5 7
The Cost of Risk-Aversion In Inventory Management: An (s,S) Case Study 0 0 0 2 0 6 8 13
The power of weighted and ordinary least squares with estimated unequal variances in experimental design 0 0 0 1 0 2 2 4
The power of weighted and ordinary least squares with estimated unequal variances in experimental design 0 0 0 0 1 1 1 8
The role of statistical methodology in simulation 0 0 0 0 1 2 3 3
The role of statistical methodology in simulation 0 0 0 1 2 5 10 22
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 1 0 4 5 20
Two-stage versus sequential sample-size determination in regression analysis of simulation experiments 0 0 0 0 0 5 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 0 0 4 6 16
Validating the Assumptions of Sequential Bifurcation in Factor Screening 0 0 0 19 0 3 5 40
Validating the Assumptions of Sequential Bifurcation in Factor Screening 0 0 0 0 0 3 5 7
Validation of Models: Statistical Techniques and Data Availability 0 0 0 5 0 0 1 30
Validation of Models: Statistical Techniques and Data Availability 0 0 0 0 0 1 1 2
Validation of Simulation Models: Regression Analysis Revisited 0 0 0 4 1 4 4 24
Validation of Simulation Models: Regression Analysis Revisited 0 0 0 0 1 5 6 8
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 0 4 8 28
Validation of simulation models: Mine-hunting case-study 0 0 0 4 2 3 4 19
Validation of simulation models: Mine-hunting case-study 0 0 0 0 0 2 4 7
Variance Reduction Techniques in Monte Carlo Methods 0 0 0 9 1 4 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 0 2 5 19
Variance heterogeneity in experimental design 0 0 0 0 0 2 2 2
Vector computers, Monte Carlo simulation, and regression analysis: An introduction (Version 2) 0 0 0 1 1 1 2 19
Vector computers, Monte Carlo simulation, and regression analysis: An introduction (Version 2) 0 0 0 0 0 0 0 0
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 0 3 7 14
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 5 6 8
White Noise Assumptions Revisited: Regression Models and Statistical Designs for Simulation Practice 0 0 0 6 0 0 3 42
Total Working Papers 1 3 13 1,282 114 853 1,310 7,424

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 6 28
A methodology for fitting and validating metamodels in simulation 0 1 2 75 0 4 6 218
A methodology to customize pull control systems 0 0 0 0 0 4 5 5
An overview of the design and analysis of simulation experiments for sensitivity analysis 0 1 2 48 0 4 10 140
Analysis and comparison of two strategies for multi-item inventory systems with joint replenishment costs 0 0 1 29 2 3 5 69
Analyzing Simulation Experiments with Common Random Numbers 0 0 0 6 1 3 5 22
Antithetic Variates, Common Random Numbers and Optimal Computer Time Allocation in Simulation 0 0 0 3 0 3 5 34
Application-driven sequential designs for simulation experiments: Kriging metamodelling 0 0 0 1 1 5 6 26
Bootstrapping to solve the limited data problem in production control: an application in batch process industries 0 0 0 0 1 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 0 2 3 30
Communication--An Extension of Gitlow's Methodology for Designing Abortion Clinics 0 0 0 0 3 4 4 8
Communication: Reply to Fox and Schruben 0 0 0 1 2 3 5 19
Constrained optimization in expensive simulation: Novel approach 0 0 1 18 1 5 7 98
Cross-validation using the t statistic 0 0 0 12 0 1 1 62
Customized sequential designs for random simulation experiments: Kriging metamodeling and bootstrapping 0 0 0 26 2 5 10 85
Deterministic versus stochastic sensitivity analysis in investment problems: An environmental case study 0 0 0 23 0 4 11 117
Een toepassing van “importance sampling” 0 0 0 0 5 8 8 9
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 1 8 10 174
Evaluation of management information systems 0 0 0 56 2 2 3 166
Expected improvement in efficient global optimization through bootstrapped kriging 0 0 0 5 1 6 7 90
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 0 2 6 30
Generalization of simulation results practicality of statistical methods 0 0 1 23 1 1 6 80
Improved Design of Queueing Simulation Experiments with Highly Heteroscedastic Responses 0 0 0 0 0 2 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 1 2 83 5 16 25 393
Methodology for determining the acceptability of system designs in uncertain environments 0 0 0 5 0 2 2 54
Monotonicity-preserving bootstrapped Kriging metamodels for expensive simulations 0 0 0 0 0 4 6 19
Multivariate versus univariate Kriging metamodels for multi-response simulation models 0 0 1 8 3 5 9 52
Operations Research 2004 Meritorious Service Award Recipients and Appreciation to 2004 Referees 0 0 0 0 0 5 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 1 7 10 55
Pseudorandom number generators for supercomputers and classical computers: A practical introduction 0 0 0 6 2 6 6 35
Regression Metamodels for Simulation with Common Random Numbers: Comparison of Validation Tests and Confidence Intervals 0 0 0 8 2 5 5 55
Regression Sampling in Statistical Auditing: A Practical Survey and Evaluation 0 0 1 2 0 5 6 10
Regression and Kriging metamodels with their experimental designs in simulation: A review 2 2 3 38 3 6 13 205
Response surface methodology with stochastic constraints for expensive simulation 0 0 0 3 0 2 4 22
Response surface methodology's steepest ascent and step size revisited 0 0 0 32 0 4 10 173
Response surface methodology's steepest ascent and step size revisited: Correction 0 0 0 18 0 2 4 83
Robust dual-response optimization 0 1 1 4 0 11 14 40
Robust optimization in simulation: Taguchi and Response Surface Methodology 0 1 1 39 1 8 12 157
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 7 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 2 6 8 83
Sensitivity analysis of simulation experiments: regression analysis and statistical design 0 0 0 2 1 6 10 35
Short-term robustness of production management systems: A case study 0 0 1 22 0 2 3 89
Simulation with too many factors: review of random and group-screening designs 0 0 0 7 1 3 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 1 2 6 10
Statistical analysis of steady-state simulations: survey of recent progress 0 0 0 7 1 7 8 42
Statistical aspects of simulation: an updated survey* 0 0 0 0 0 5 7 12
Statistical testing of optimality conditions in multiresponse simulation-based optimization 0 0 0 10 0 3 8 74
Statistical validation of simulation models 0 0 0 24 1 5 6 87
Stochastic intrinsic Kriging for simulation metamodeling 0 0 0 1 0 9 10 25
Testing independence of simulation subruns: a note on the power of the Von Neumann test 0 0 0 7 0 2 2 32
The Use of Multiple Ranking Procedures to Analyze Simulations of Management Systems: A Tutorial 0 0 0 1 3 4 4 12
The correct Kriging variance estimated by bootstrapping 0 0 1 5 0 2 8 21
Validation of Trace-Driven Simulation Models: A Novel Regression Test 0 0 0 2 1 8 10 52
Validation of Trace-Driven Simulation Models: Bootstrap Tests 0 0 0 6 1 6 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 6 7 137
Vector Computers, Monte Carlo Simulation and Regression Analysis: An Introduction 0 0 0 4 0 5 9 50
Verification and validation of simulation models 0 0 3 252 3 24 32 871
Total Journal Articles 2 8 24 1,313 57 308 473 5,819
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 0 7 12 35
Design and Analysis of Simulation Experiments 0 0 0 2 0 10 15 55
Total Books 0 0 0 2 0 17 27 90

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 3 7
Classic assumptions revisited 0 0 0 0 0 0 0 1
Epilogue 0 0 0 0 0 2 2 2
Factor Screening in Simulation Experiments: Review of Sequential Bifurcation 0 0 0 0 4 6 10 23
Introduction 0 0 0 0 1 3 4 4
Introduction 0 0 0 0 0 1 1 2
Kriging Metamodels and Their Designs 0 0 0 0 1 10 11 14
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 0 10 14 28
Screening designs 0 0 0 0 0 2 4 7
Screening the Many Inputs of Realistic Simulation Models 0 0 0 1 0 3 6 9
Simulation Optimization 0 0 0 0 1 2 4 7
Simulation optimization 0 1 1 1 0 2 3 7
Total Chapters 0 1 1 2 8 51 71 126

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