Access Statistics for Jack P.C. Kleijnen

Author contact details at EconPapers.

Working Paper File Downloads Abstract Views
Last month 3 months 12 months Total Last month 3 months 12 months Total
"Information economics": Inleiding en kritiek 0 0 0 0 0 0 0 3
A DSS for production planning: A case study including simulation and optimization 0 0 0 11 0 1 1 36
A DSS for production planning: A case study including simulation and optimization 0 0 0 0 0 0 0 0
A Methodology for Fitting and Validating Metamodels in Simulation 0 0 0 14 0 3 4 72
A Methodology for Fitting and Validating Metamodels in Simulation 0 0 0 1 1 2 2 9
A User's Guide to the Brave New World of Designing Simulation Experiments 0 0 0 1 2 2 3 11
A User's Guide to the Brave New World of Designing Simulation Experiments 0 0 0 5 1 1 2 40
A scenario for sequential experimentation 0 0 0 0 0 1 1 2
A scenario for sequential experimentation 0 0 0 0 0 1 3 14
Adjustable Robust Parameter Design with Unknown Distributions 0 0 0 0 1 1 2 5
Adjustable Robust Parameter Design with Unknown Distributions 0 0 0 6 1 1 1 41
An Overview of the Design and Analysis of Simulation Experiments for Sensitivity Analysis 0 0 0 17 1 1 2 58
An Overview of the Design and Analysis of Simulation Experiments for Sensitivity Analysis 0 0 0 0 2 3 6 13
An asymptotic test of optimality conditions in multiresponse simulation optimization 0 0 0 4 1 3 4 30
Analysis and comparison of two strategies for multi-item inventory systems with joint replenishment costs 0 0 0 9 0 1 4 37
Analysis and comparison of two strategies for multi-item inventory systems with joint replenishment costs 0 0 0 0 1 1 3 3
Analysis of simulation with common random numbers: A note on Heikes et al. (1976) (Version 2) 0 0 0 0 0 0 0 1
Analyzing simulation experiments with common random number, part II: Rao's approach 0 0 0 1 1 1 1 11
Analyzing simulation experiments with common random number, part II: Rao's approach 0 0 0 0 0 1 1 2
Analyzing simulation experiments with common random numbers (Part I, 2nd rev. and expanded version) 0 0 0 0 1 1 1 6
Analyzing simulation experiments with common random numbers (Part I, 2nd rev. and expanded version) 0 0 0 0 0 0 0 0
Application-driven Sequential Designs for Simulation Experiments: Kriging Metamodeling 0 0 0 2 0 0 1 11
Application-driven Sequential Designs for Simulation Experiments: Kriging Metamodeling 0 0 0 8 1 2 2 40
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 1 1 66
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 1 3
Computers and operations research: A survey 0 0 0 0 1 1 1 3
Conditional simulation for efficient global optimization 0 0 0 4 2 3 5 18
Configuring a pull production control strategy through a generic model 0 0 0 4 1 1 2 17
Configuring a pull production control strategy through a generic model 0 0 0 0 0 0 0 0
Constrained Optimization in Random Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions 0 0 0 2 0 0 2 4
Constrained Optimization in Random Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions 0 0 0 4 0 0 0 0
Constrained Optimization in Simulation: A Novel Approach 0 0 0 6 1 5 6 31
Constrained Optimization in Simulation: A Novel Approach 0 0 0 0 0 0 2 6
Constrained Optimization in Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions 0 0 0 0 1 2 2 7
Constrained Optimization in Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions 0 0 0 5 0 1 2 7
Constrained Optimization in Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions (revision of 2021-031) 0 0 0 6 0 2 6 25
Constrained Optimization in Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions (revision of 2021-031) 0 0 0 0 3 3 5 8
Constrained optimization in Random Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions (Revision of CentER DP 2022-022) 0 0 0 5 1 1 1 2
Constrained optimization in Random Simulation: Efficient Global Optimization and Karush-Kuhn-Tucker Conditions (Revision of CentER DP 2022-022) 0 0 0 5 1 1 6 8
Constrained optimization in simulation: A novel approach 0 0 0 1 2 3 4 17
Convex and Monotonic Bootstrapped Kriging 0 0 0 1 0 1 2 5
Convex and Monotonic Bootstrapped Kriging 0 0 0 1 0 0 1 15
Convex and monotonic bootstrapped kriging 0 0 0 1 1 1 2 12
Cross-validation using the t statistic 0 0 0 0 0 0 0 1
Cross-validation using the t statistic 0 0 0 0 0 0 0 7
Customized Pull Systems for Single-Product Flow Lines 0 0 0 0 3 3 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 1 2 61
Customized Sequential Designs for Random Simulation Experiments: Kriging Metamodelling and Bootstrapping 0 0 0 2 1 1 1 15
Customized Sequential Designs for Random Simulation Experiments: Kriging Metamodelling and Bootstrapping 0 0 0 0 1 1 1 4
Customized Sequential Designs for Random Simulation Experiments: Kriging Metamodelling and Bootstrapping 0 0 0 0 1 2 3 5
De rol van simulatie in de algemene econometrie 0 0 0 0 0 0 0 0
Decision Support Systems (DSS), en de kleren van de keizer 0 0 0 0 0 1 2 5
Decision Support Systems (DSS), en de kleren van de keizer 0 0 0 1 0 0 0 9
Design and Analysis of Monte Carlo Experiments 0 0 0 5 1 2 2 21
Design and Analysis of Monte Carlo Experiments 0 0 0 0 0 1 1 4
Design and Analysis of simulation experiments: Tutorial 0 0 0 65 0 0 0 49
Design and Analysis of simulation experiments: Tutorial 0 0 0 0 1 1 1 2
Design of Experiments: An Overview 0 0 0 6 1 2 2 21
Design of Experiments: An Overview 0 0 0 0 0 0 1 3
Design of simulation experiments 0 0 0 0 0 0 2 2
Design of simulation experiments 0 0 0 0 0 0 0 8
Deterministic versus Stochastic Sensitivity Analysis in Investment Problems: An Environmental Case Study 0 0 0 12 0 0 0 54
Deterministic versus Stochastic Sensitivity Analysis in Investment Problems: An Environmental Case Study 0 0 0 0 0 1 2 4
Economic framework for information systems 0 0 0 12 2 5 6 40
Economic framework for information systems 0 0 0 0 0 1 1 2
Een toepassing van "importance sampling" 0 0 0 0 0 0 0 0
Efficient Global Optimization for Black-Box Simulation via Sequential Intrinsic Kriging 0 0 0 0 0 0 1 4
Efficient Global Optimization for Black-Box Simulation via Sequential Intrinsic Kriging 0 0 0 12 0 2 4 70
Efficient estimation of power functions 0 0 0 0 0 2 4 14
Efficient estimation of power functions 0 0 0 0 0 1 1 1
Efficient global optimization and the zero-gradient condition, in expensive simulation 0 0 1 1 0 0 6 6
Estimating the Variance of the Predictor in Stochastic Kriging 0 0 0 0 2 3 4 6
Estimating the Variance of the Predictor in Stochastic Kriging 0 0 0 10 1 1 1 46
Ethical Issues in Engineering Models: Personal Reflections 0 0 0 2 0 1 2 28
Ethical Issues in Engineering Models: Personal Reflections 0 0 0 0 0 0 2 4
Ethical issues in engineering models: An operations researcher's reflections 0 0 0 0 0 0 2 15
Ethische vragen in Operations Research 0 0 0 2 0 0 0 6
Expected Improvement in Efficient Global Optimization Through Bootstrapped Kriging - Replaces CentER DP 2010-62 0 0 0 0 1 1 1 5
Expected Improvement in Efficient Global Optimization Through Bootstrapped Kriging - Replaces CentER DP 2010-62 0 0 0 0 0 2 3 26
Experimental Design for Sensitivity Analysis of Simulation Models 0 0 0 0 0 2 2 5
Experimental Design for Sensitivity Analysis of Simulation Models 0 0 0 4 1 1 1 15
Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models 0 0 0 80 0 1 2 182
Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models 0 0 1 2 0 0 3 8
Experimental design and regression analysis in simulation: An FMS case study 0 0 0 0 0 1 2 7
Experimental design and regression analysis in simulation: An FMS case study 0 0 0 1 0 0 0 28
Factor Screening For Simulation With Multiple Responses: Sequential Bifurcation 0 0 1 1 0 1 3 7
Factor Screening For Simulation With Multiple Responses: Sequential Bifurcation 0 0 0 3 2 2 3 37
Factor Screening for Simulation with Multiple Responses: Sequential Bifurcation 0 0 0 4 0 0 1 38
Factor Screening for Simulation with Multiple Responses: Sequential Bifurcation 0 0 0 0 0 0 0 4
Finding the Important Factors in Large Discrete-Event Simulation: Sequential Bifurcation and its Applications 0 0 0 0 0 3 3 3
Finding the Important Factors in Large Discrete-Event Simulation: Sequential Bifurcation and its Applications 0 0 0 3 0 0 0 12
Generalizations of simulation results: Practicality of statistical methods (Part one) 0 0 0 0 0 0 0 1
Generalizations of simulation results: Practicality of statistical methods (Part one) 0 0 0 0 1 3 3 11
Generalized Response Surface Methodology: A New Metaheuristic 0 0 0 0 1 1 1 5
Generalized Response Surface Methodology: A New Metaheuristic 0 0 0 8 0 4 4 39
Generalizing simulation results through metamodels 0 0 0 1 1 1 2 3
Global Optimization for Black-box Simulation via Sequential Intrinsic Kriging 0 0 0 9 0 0 3 69
Global Optimization for Black-box Simulation via Sequential Intrinsic Kriging 0 0 0 0 0 0 1 3
Identifying the important factors in simulation models with many factors 0 0 0 0 3 3 3 6
Identifying the important factors in simulation models with many factors 0 0 0 41 1 2 3 629
Identifying the important factors in simulation models with many factors 0 0 0 1 1 3 3 20
Identifying the important factors in simulation models with many factors 0 0 0 0 1 1 2 4
Importance sampling in systems simulation: A practical failure? 0 0 0 0 0 0 1 3
Importance sampling in systems simulation: A practical failure? 0 0 0 0 1 2 4 18
Improved design of queuing simulation experiments with highly heteroscedastic responses 0 0 0 1 0 1 3 8
Improved design of queuing simulation experiments with highly heteroscedastic responses 0 0 0 2 0 1 1 11
Jackknifing estimated weighted least squares 0 0 0 0 1 1 1 3
Jackknifing estimated weighted least squares 0 0 0 1 1 1 2 16
Kriging Metamodeling in Simulation: A Review 0 0 0 23 0 1 1 106
Kriging Metamodeling in Simulation: A Review 0 0 0 4 0 1 1 19
Kriging for Interpolation in Random Simulation 0 0 0 11 0 2 2 41
Kriging for Interpolation in Random Simulation 0 0 1 1 0 0 1 5
Kriging in Multi-response Simulation, including a Monte Carlo Laboratory (Replaced by 2014-012) 0 0 0 20 0 0 1 84
Kriging in Multi-response Simulation, including a Monte Carlo Laboratory (Replaced by 2014-012) 0 0 0 0 0 0 0 3
Kriging: Methods and Applications 0 0 0 29 0 0 0 42
Kriging: Methods and Applications 0 0 0 2 0 0 1 5
Maximizing the simulation output: A competition 0 0 0 0 0 0 0 1
Measurement scales and resolution IV designs: A note (Version 3) 0 0 0 4 1 1 2 15
Measurement scales and resolution IV designs: A note (Version 3) 0 0 0 0 0 0 0 1
Measuring the Quality of Publications: New Methodology and Case Study 0 0 0 1 0 0 0 4
Measuring the Quality of Publications: New Methodology and Case Study 0 0 0 1 0 2 2 14
Methodology for Determining the Acceptability of Given Designs in Uncertain Environments 0 0 0 1 0 1 1 13
Methodology for Determining the Acceptability of Given Designs in Uncertain Environments 0 0 0 0 0 0 1 5
Methodology for determining the acceptability of system designs in uncertain environments 0 0 0 1 1 1 1 37
Minimizing waiting times using priority classes: A case study in response surface methodology 0 0 0 0 0 0 0 2
Monotonicity-Preserving Bootstrapped Kriging Metamodels for Expensive Simulations 0 0 0 1 0 0 2 23
Monotonicity-Preserving Bootstrapped Kriging Metamodels for Expensive Simulations 0 0 0 0 0 0 1 6
Monotonicity-preserving bootstrapped kriging metamodels for expensive simulations 0 0 0 2 1 3 3 17
Monte Carlo sampling and variance reduction techniques 0 0 0 0 1 1 1 1
Monte Carlo sampling and variance reduction techniques 0 0 0 2 0 0 1 15
Multivariate Versus Univariate Kriging Metamodels for Multi-Response Simulation Models (Revision of 2012-039) 0 0 0 0 0 0 0 10
Multivariate Versus Univariate Kriging Metamodels for Multi-Response Simulation Models (Revision of 2012-039) 0 0 0 23 0 1 1 53
New entrants and the role of information technology: Case study: The Tele-Flower Auction in The Netherlands 0 0 0 0 1 2 2 17
New species of hybrid pull systems 0 0 0 2 2 3 3 17
New species of hybrid pull systems 0 0 0 0 0 0 3 3
On the interpretation of variables 0 0 0 0 0 0 1 9
On the interpretation of variables 0 0 0 0 0 0 0 1
Operations research and computers 0 0 0 1 1 2 2 19
Operations research and computers 0 0 0 0 2 5 5 7
Optimal design of experiments with simulation models of nearly saturated queues 0 0 0 0 0 0 1 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 3 0 0 0 6
Optimal design of simulation experiments with nearly saturated queues 0 0 0 0 0 0 0 2
Optimization Versus Robustness in Simulation: A Practical Methodology, With a Production-Management Case-Study 0 0 0 0 0 0 1 1
Optimization Versus Robustness in Simulation: A Practical Methodology, With a Production-Management Case-Study 0 0 0 4 0 1 1 16
Optimization and Sensitivity Analysis of Computer Similation Models by the Score Function Method 0 0 0 0 0 0 4 395
Optimization and sensitivity analysis of computer simulation models by the score function method 0 0 0 4 0 0 0 22
Optimization and sensitivity analysis of computer simulation models by the score function method 0 0 0 1 0 0 0 3
Optimization of Simulated Inventory Systems: OptQuest and Alternatives 0 0 0 12 0 1 1 51
Optimization of Simulated Inventory Systems: OptQuest and Alternatives 0 0 0 0 1 2 3 4
Optimization of System Dynamics Models: a Novel Methodology 0 0 0 0 0 0 1 2
Optimization of System Dynamics Models: a Novel Methodology 0 0 1 3 0 0 2 6
Parametric and distribution-free bootstrapping in robust simulation-optimization 0 0 0 1 0 0 0 8
Prediction for Big Data through Kriging: Small Sequential and One-Shot Designs 0 0 0 0 1 1 2 3
Prediction for Big Data through Kriging: Small Sequential and One-Shot Designs 0 0 0 41 2 2 2 44
Pseudorandom number generation on supercomputers 0 0 0 0 2 5 5 5
Pseudorandom number generation on supercomputers 0 0 0 0 0 0 3 12
Pseudorandom number generators revisited 0 0 0 0 0 0 1 10
Pseudorandom number generators revisited 0 0 0 0 0 0 1 1
Quantile estimation in regenerative simulation: A case study 0 0 0 0 1 1 2 2
Regression Models and Experimental Designs: A Tutorial for Simulation Analaysts 0 0 0 6 0 1 1 25
Regression Models and Experimental Designs: A Tutorial for Simulation Analaysts 0 0 0 0 3 5 5 8
Regression analysis for simulation practitioners 0 0 0 0 0 0 0 7
Regression analysis for simulation practitioners 0 0 0 0 0 1 2 2
Regression analysis of factoral designs with sequential replication 0 0 0 0 0 0 0 2
Regression analysis of factoral designs with sequential replication 0 0 0 1 1 1 1 8
Regression analysis of simulation experiments: Functional software specification 0 0 0 0 1 2 2 12
Regression analysis of simulation experiments: Functional software specification 0 0 0 0 0 1 3 3
Regression analysis: Assumptions, alternatives, applications 0 0 0 4 0 0 0 21
Regression analysis: Assumptions, alternatives, applications 0 0 0 0 0 1 2 2
Regression and Kriging Metamodels with Their Experimental Designs in Simulation: Review 0 0 0 53 4 4 5 110
Regression and Kriging Metamodels with Their Experimental Designs in Simulation: Review 0 0 0 2 1 3 3 20
Regression estimators in simulation 0 0 0 0 0 0 2 7
Regression estimators in simulation 0 0 0 0 1 2 3 3
Regression metamodel summarization of model behaviour 0 0 0 0 0 0 0 0
Regression metamodel summarization of model behaviour 0 0 0 0 0 0 0 15
Regression metamodels for simulation with common random numbers: Comparison of techniques 0 0 0 1 0 0 0 8
Regression metamodels for simulation with common random numbers: Comparison of techniques 0 0 0 0 0 0 0 1
Regression sampling in statistical auditing 0 0 0 0 0 0 0 0
Regression sampling in statistical auditing 0 0 0 6 0 0 0 32
Response Surface Methodology 0 0 2 4 1 1 6 19
Response Surface Methodology 0 0 0 65 1 1 2 256
Response Surface Methodology's Steepest Ascent and Step Size Revisited 0 0 0 0 0 2 3 10
Response Surface Methodology's Steepest Ascent and Step Size Revisited 0 0 0 11 1 1 1 139
Robust Optimization in Simulation: Taguchi and Krige Combined 0 0 0 0 0 0 0 4
Robust Optimization in Simulation: Taguchi and Krige Combined 0 0 0 6 1 1 2 37
Robust Optimization in Simulation: Taguchi and Response Surface Methodology 0 0 0 0 0 0 1 4
Robust Optimization in Simulation: Taguchi and Response Surface Methodology 0 0 0 4 0 1 2 36
Robust optimization in simulation: Taguchi and Response Surface Methodology 0 0 0 10 1 1 2 41
Sampling for quality inspection and correction: AOQL performance criteria 0 0 0 0 0 1 1 2
Sampling for quality inspection and correction: AOQL performance criteria 0 0 0 0 0 0 1 28
Sampling for quality inspection and correction: AOQL performance criteria (Version 3) 0 0 0 0 1 1 2 29
Sampling for quality inspection and correction: AOQL performance criteria (Version 3) 0 0 0 0 1 1 1 2
Scoring methods, multiple criteria, and utility analysis 0 0 0 0 0 0 0 17
Scoring methods, multiple criteria, and utility analysis 0 0 0 0 1 1 1 2
Screening Experiments for Simulation: A Review 0 0 0 3 0 0 1 19
Screening Experiments for Simulation: A Review 0 0 0 0 0 2 3 4
Sealed-Bid Auction of Dutch Mussels: Statistical Analysis 0 0 0 0 0 0 0 0
Sealed-Bid Auction of Dutch Mussels: Statistical Analysis 0 0 0 3 0 1 1 24
Sealed-Bid Auctions: Case Study 0 0 0 0 1 3 3 3
Sealed-Bid Auctions: Case Study 0 0 0 2 2 2 4 24
Selecting random number seeds in practice 0 0 0 0 0 0 1 7
Selecting random number seeds in practice 0 0 0 0 0 1 1 2
Sensitivity Analysis of Censored Output Through Polynomial, Logistic and Tobit Regression Meta-Models: Theory and Case Study 0 0 0 0 0 0 1 7
Sensitivity Analysis of Censored Output Through Polynomial, Logistic and Tobit Regression Meta-Models: Theory and Case Study 0 0 0 4 1 1 1 19
Sensitivity Analysis of Simulation Models 0 0 0 0 0 0 0 8
Sensitivity Analysis of Simulation Models 0 0 0 12 1 1 1 38
Sensitivity analysis and optimization of system dynamics models: Regression analysis and statistical design of experiments 0 0 1 50 1 3 7 165
Sensitivity analysis and optimization of system dynamics models: Regression analysis and statistical design of experiments 0 0 0 0 2 4 4 10
Sensitivity analysis and related analysis: A survey of statistical techniques 0 0 0 0 0 0 0 3
Sensitivity analysis and related analysis: A survey of statistical techniques 0 0 1 27 0 0 2 123
Sensitivity analysis of simulation experiments: Regression analysis and statistical design 0 0 0 10 1 2 4 45
Sensitivity analysis of simulation experiments: Regression analysis and statistical design 0 0 0 0 0 0 0 3
Sensitivity analysis of simulation experiments: Tutorial on regression analysis and statistical design 0 0 0 0 1 2 2 2
Sensitivity analysis of simulation experiments: Tutorial on regression analysis and statistical design 0 0 0 1 1 1 3 25
Sequential Probability Ration Tests: Conservative and Robust 0 0 0 1 0 0 0 5
Sequential Probability Ration Tests: Conservative and Robust 0 0 0 32 0 0 2 38
Short-Term Robustness of Production Management Systems: New Methodology 0 0 0 0 0 0 0 6
Short-Term Robustness of Production Management Systems: New Methodology 0 0 0 0 0 0 1 3
Short-term robustness of production management systems 0 0 0 0 0 0 0 1
Short-term robustness of production management systems 0 0 0 6 0 2 2 35
Simulatie 0 0 0 0 0 0 0 1
Simulation Experiments in Practice: Statistical Design and Regression Analysis 0 0 0 0 1 1 3 5
Simulation Experiments in Practice: Statistical Design and Regression Analysis 0 0 0 8 1 3 4 29
Simulation Experiments in Practice: Statistical Design and Regression Analysis 0 0 0 0 0 0 0 3
Simulation Experiments in Practice: Statistical Design and Regression Analysis 0 0 0 1 2 2 2 19
Simulation Optimization through Regression or Kriging Metamodels 0 0 0 17 1 1 2 30
Simulation Optimization through Regression or Kriging Metamodels 0 0 0 0 0 0 1 3
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 0 1 2 24
Simulation in the evaluation of management information systems: An overview and evaluation 0 0 0 0 0 0 2 3
Simulation in the evaluation of management information systems: An overview and evaluation 0 0 0 0 0 0 2 24
Simulation with too many factors: Review of random and group-screening designs 0 0 0 0 0 0 2 3
Simulation with too many factors: Review of random and group-screening designs 0 0 0 1 1 1 2 14
Simulation-Optimization via Kriging and Bootstrapping: A Survey (Revision of CentER DP 2011-064) 0 0 0 1 1 2 2 10
Simulation-Optimization via Kriging and Bootstrapping: A Survey (Revision of CentER DP 2011-064) 0 0 0 23 2 2 2 52
Small-jobs-first: A combined queuing, simulation, and regression analysis 0 0 0 0 0 0 0 1
Small-jobs-first: A combined queuing, simulation, and regression analysis 0 0 0 2 0 0 1 17
Statistical Analysis of Random Simulations: Bootstrap Tutorial 0 0 0 0 0 0 0 1
Statistical Analysis of Random Simulations: Bootstrap Tutorial 0 0 0 13 3 5 5 50
Statistical Testing of Optimality Conditions in Multiresponse Simulation-Based Optimization (Replaced by Discussion Paper 2007-45) 0 0 0 0 0 1 1 3
Statistical Testing of Optimality Conditions in Multiresponse Simulation-Based Optimization (Replaced by Discussion Paper 2007-45) 0 0 0 2 1 1 2 21
Statistical Testing of Optimality Conditions in Multiresponse Simulation-based Optimization (Revision of 2005-81) 0 0 0 0 0 1 2 30
Statistical Testing of Optimality Conditions in Multiresponse Simulation-based Optimization (Revision of 2005-81) 0 0 0 0 0 0 1 2
Statistical Tests for Cross-Validation of Kriging Models 1 1 1 34 2 3 4 42
Statistical Tests for Cross-Validation of Kriging Models 0 0 0 0 1 4 4 6
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 0 0 1
Statistical aspects of simulation: An updated survey 0 0 0 0 0 0 0 0
Statistical aspects of simulation: An updated survey 0 0 0 1 0 0 0 6
Statistical validation of simulation models: A case study 0 0 0 5 0 2 4 25
Statistical validation of simulation models: A case study 0 0 0 0 0 2 2 7
Statistics and deterministic simulation models: Why not? 0 0 0 2 0 0 1 12
Statistics and deterministic simulation models: Why not? 0 0 0 0 1 1 1 2
Stochastic Intrinsic Kriging for Simulation Metamodelling 0 0 0 0 0 2 4 9
Stochastic Intrinsic Kriging for Simulation Metamodelling 0 0 0 15 2 3 4 52
Stochastic Intrinsic Kriging for Simulation Metamodelling 0 0 0 0 0 0 3 6
Stochastic Intrinsic Kriging for Simulation Metamodelling 0 0 0 26 1 2 2 64
Supercomputers, Monte Carlo simulation and regression analysis 0 0 0 3 0 0 0 31
Supercomputers, Monte Carlo simulation and regression analysis 0 0 0 0 5 5 6 7
Superefficient estimation of power functions in simulation experiments 0 0 0 0 0 0 0 1
Superefficient estimation of power functions in simulation experiments 0 0 0 0 1 3 3 7
Supply Chain Simulation: A Survey 0 0 0 9 0 1 1 50
Supply Chain Simulation: A Survey 0 0 0 1 1 1 3 14
Techniques for sensitivity analysis of simulation models: A case study of the CO2 greenhouse effect 0 0 0 1 0 0 0 31
Techniques for sensitivity analysis of simulation models: A case study of the CO2 greenhouse effect 0 0 0 0 0 0 0 1
Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034) 0 0 0 19 3 5 5 46
Testing the Assumptions of Sequential Bifurcation for Factor Screening (revision of CentER DP 2015-034) 0 0 0 0 0 1 1 3
Testing the mean of an asymmetric population: Johnson's modified t test revisited 0 0 0 0 0 1 1 3
Testing the mean of an asymmetric population: Johnson's modified t test revisited 0 0 0 17 0 0 1 69
The Correct Kriging Variance Estimated by Bootstrapping 0 0 0 1 1 2 2 7
The Correct Kriging Variance Estimated by Bootstrapping 0 0 0 17 1 1 2 67
The Cost of Risk-Aversion In Inventory Management: An (s,S) Case Study 0 0 0 3 0 0 2 4
The Cost of Risk-Aversion In Inventory Management: An (s,S) Case Study 0 0 0 2 2 2 3 7
The power of weighted and ordinary least squares with estimated unequal variances in experimental design 0 0 0 0 0 0 0 7
The power of weighted and ordinary least squares with estimated unequal variances in experimental design 0 0 0 1 0 0 0 2
The role of statistical methodology in simulation 0 0 0 0 0 1 1 1
The role of statistical methodology in simulation 0 0 0 1 1 3 6 17
Timeliness of information: A basic model 0 0 0 5 1 1 1 25
Timeliness of information: A basic model 0 0 0 0 0 0 1 2
Two-stage versus sequential sample-size determination in regression analysis of simulation experiments 0 0 0 1 1 1 1 16
Two-stage versus sequential sample-size determination in regression analysis of simulation experiments 0 0 0 0 0 0 0 4
Two-stage versus sequential sample-size determination in regression analysis of simulation experiments 0 0 0 0 0 0 0 1
Two-stage versus sequential sample-size determination in regression analysis of simulation experiments 0 0 0 0 2 2 2 12
Validating the Assumptions of Sequential Bifurcation in Factor Screening 0 0 0 0 0 1 2 4
Validating the Assumptions of Sequential Bifurcation in Factor Screening 0 0 0 19 1 2 2 37
Validation of Models: Statistical Techniques and Data Availability 0 0 0 5 1 1 2 30
Validation of Models: Statistical Techniques and Data Availability 0 0 0 0 0 0 0 1
Validation of Simulation Models: Regression Analysis Revisited 0 0 0 4 0 0 0 20
Validation of Simulation Models: Regression Analysis Revisited 0 0 0 0 0 0 1 3
Validation of Simulation, With and Without Real Data 0 0 0 8 0 0 4 24
Validation of Simulation, With and Without Real Data 0 1 1 1 0 1 1 4
Validation of simulation models: Mine-hunting case-study 0 0 0 4 0 1 1 16
Validation of simulation models: Mine-hunting case-study 0 0 0 0 0 1 3 5
Variance Reduction Techniques in Monte Carlo Methods 0 0 0 9 0 2 3 35
Variance Reduction Techniques in Monte Carlo Methods 0 0 0 0 0 0 1 1
Variance heterogeneity in experimental design 0 0 0 0 0 0 0 0
Variance heterogeneity in experimental design 0 0 0 3 1 3 3 17
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 1 1 1 18
Verification and validation of models 0 0 0 0 0 0 0 4
Verification and validation of models 0 0 0 0 0 0 0 11
Verification and validation of simulation models 0 0 1 1 0 1 5 11
Verification and validation of simulation models 0 0 1 4 2 3 5 33
When is the design of a manufacturing system acceptable in the presence of uncertainty? 0 0 0 0 0 1 1 9
White Noise Assumptions Revisited: Regression Models and Statistical Designs for Simulation Practice 0 0 0 1 1 1 1 3
White Noise Assumptions Revisited: Regression Models and Statistical Designs for Simulation Practice 0 0 0 6 1 2 4 42
Total Working Papers 1 2 13 1,279 154 311 531 6,571

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 2 3 24
A methodology for fitting and validating metamodels in simulation 0 0 1 74 0 0 4 214
A methodology to customize pull control systems 0 0 0 0 1 1 1 1
An overview of the design and analysis of simulation experiments for sensitivity analysis 0 0 1 47 0 3 10 136
Analysis and comparison of two strategies for multi-item inventory systems with joint replenishment costs 0 0 1 29 1 1 2 66
Analyzing Simulation Experiments with Common Random Numbers 0 0 0 6 0 1 3 19
Antithetic Variates, Common Random Numbers and Optimal Computer Time Allocation in Simulation 0 0 0 3 0 1 2 31
Application-driven sequential designs for simulation experiments: Kriging metamodelling 0 0 0 1 1 1 1 21
Bootstrapping to solve the limited data problem in production control: an application in batch process industries 0 0 0 0 0 0 1 9
Classic Kriging versus Kriging with bootstrapping or conditional simulation: classic Kriging’s robust confidence intervals and optimization 0 0 0 1 0 0 0 14
Comment on Park et al.’s “Robust Kriging in computer experiments” 0 0 0 6 1 1 1 28
Communication--An Extension of Gitlow's Methodology for Designing Abortion Clinics 0 0 0 0 0 0 0 4
Communication: Reply to Fox and Schruben 0 0 0 1 1 1 2 16
Constrained optimization in expensive simulation: Novel approach 0 0 1 18 0 1 2 93
Cross-validation using the t statistic 0 0 0 12 0 0 0 61
Customized sequential designs for random simulation experiments: Kriging metamodeling and bootstrapping 0 0 0 26 3 4 5 80
Deterministic versus stochastic sensitivity analysis in investment problems: An environmental case study 0 0 0 23 4 6 7 113
Een toepassing van “importance sampling” 0 0 0 0 0 0 0 1
Efficient global optimisation for black-box simulation via sequential intrinsic Kriging 0 0 0 0 0 1 2 9
Ethical issues in modeling: Some reflections 0 0 1 25 0 2 4 166
Evaluation of management information systems 0 0 0 56 0 0 1 164
Expected improvement in efficient global optimization through bootstrapped kriging 0 0 0 5 0 0 2 84
Experimental design and regression analysis in simulation: An FMS case study 0 0 0 97 0 1 2 334
Factor screening for simulation with multiple responses: Sequential bifurcation 0 0 0 4 1 2 5 28
Generalization of simulation results practicality of statistical methods 0 0 1 23 4 4 6 79
Improved Design of Queueing Simulation Experiments with Highly Heteroscedastic Responses 0 0 0 0 1 1 3 7
Information Systems in Management Science---Bayesian Information Economics: An Evaluation 0 0 0 2 0 0 0 5
Kriging for interpolation in random simulation 0 0 0 0 1 2 4 13
Kriging metamodeling in simulation: A review 0 1 1 82 2 6 10 377
Methodology for determining the acceptability of system designs in uncertain environments 0 0 0 5 0 0 2 52
Monotonicity-preserving bootstrapped Kriging metamodels for expensive simulations 0 0 0 0 2 2 2 15
Multivariate versus univariate Kriging metamodels for multi-response simulation models 0 0 1 8 0 2 4 47
Operations Research 2004 Meritorious Service Award Recipients and Appreciation to 2004 Referees 0 0 0 0 2 2 2 9
Optimization and sensitivity analysis of computer simulation models by the score function method 0 1 1 11 1 3 7 69
Performance metrics in supply chain management 0 0 1 6 1 1 3 48
Pseudorandom number generators for supercomputers and classical computers: A practical introduction 0 0 0 6 0 0 0 29
Regression Metamodels for Simulation with Common Random Numbers: Comparison of Validation Tests and Confidence Intervals 0 0 0 8 0 0 0 50
Regression Sampling in Statistical Auditing: A Practical Survey and Evaluation 1 1 1 2 1 1 2 5
Regression and Kriging metamodels with their experimental designs in simulation: A review 0 1 2 36 0 1 9 199
Response surface methodology with stochastic constraints for expensive simulation 0 0 0 3 2 2 2 20
Response surface methodology's steepest ascent and step size revisited 0 0 0 32 5 5 6 169
Response surface methodology's steepest ascent and step size revisited: Correction 0 0 0 18 0 1 2 81
Robust dual-response optimization 0 0 0 3 0 3 3 29
Robust optimization in simulation: Taguchi and Response Surface Methodology 0 0 0 38 2 3 6 149
Robustness of Kriging when interpolating in random simulation with heterogeneous variances: Some experiments 0 0 0 36 0 1 1 109
Sampling for quality inspection and correction: AOQL performance criteria 0 0 0 56 0 0 1 314
Sealed-bid auction of Netherlands mussels: Statistical analysis 0 0 0 11 0 1 2 80
Searching for important factors in simulation models with many factors: Sequential bifurcation 0 0 0 57 2 2 3 153
Sensitivity analysis by experimental design and metamodelling: Case study on simulation in national animal disease control 0 0 0 25 0 2 2 77
Sensitivity analysis of simulation experiments: regression analysis and statistical design 0 0 0 2 2 2 4 29
Short-term robustness of production management systems: A case study 0 0 1 22 0 0 5 87
Simulation with too many factors: review of random and group-screening designs 0 0 0 7 0 0 0 30
Simulation-optimization via Kriging and bootstrapping: a survey 0 0 0 0 0 2 2 3
Statistical Tests for Cross-Validation of Kriging Models 0 0 1 3 2 3 6 8
Statistical analysis of steady-state simulations: survey of recent progress 0 0 0 7 1 1 2 35
Statistical aspects of simulation: an updated survey* 0 0 0 0 1 2 3 7
Statistical testing of optimality conditions in multiresponse simulation-based optimization 0 0 0 10 1 5 5 71
Statistical validation of simulation models 0 0 0 24 0 1 2 82
Stochastic intrinsic Kriging for simulation metamodeling 0 0 0 1 0 1 2 16
Testing independence of simulation subruns: a note on the power of the Von Neumann test 0 0 0 7 0 0 0 30
The Use of Multiple Ranking Procedures to Analyze Simulations of Management Systems: A Tutorial 0 0 0 1 0 0 0 8
The correct Kriging variance estimated by bootstrapping 0 1 1 5 2 3 6 19
Validation of Trace-Driven Simulation Models: A Novel Regression Test 0 0 0 2 0 1 2 44
Validation of Trace-Driven Simulation Models: Bootstrap Tests 0 0 0 6 0 0 0 40
Validation of regression metamodels in simulation: Bootstrap approach 0 0 0 22 0 1 3 78
Validation of simulation model for robotic milking barn design 0 0 0 23 1 1 1 131
Vector Computers, Monte Carlo Simulation and Regression Analysis: An Introduction 0 0 0 4 2 3 4 45
Verification and validation of simulation models 0 3 3 252 0 6 9 847
Total Journal Articles 1 8 19 1,305 51 106 198 5,511
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 2 1 3 9 45
Design and Analysis of Simulation Experiments 0 0 0 0 2 4 6 28
Total Books 0 0 0 2 3 7 15 73

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 1 1 1 2
Classic Regression Metamodels and Their Designs 0 0 0 0 1 1 1 5
Classic assumptions revisited 0 0 0 0 0 0 0 1
Epilogue 0 0 0 0 0 0 0 0
Factor Screening in Simulation Experiments: Review of Sequential Bifurcation 0 0 0 0 1 2 6 17
Introduction 0 0 0 0 0 0 0 1
Introduction 0 0 0 0 0 0 1 1
Kriging Metamodels and Their Designs 0 0 0 0 0 0 1 4
Kriging metamodels 0 0 0 0 0 0 0 3
Low-order polynomial regression metamodels and their designs: basics 0 0 0 0 0 0 1 2
Response Surface Methodology 0 0 0 0 1 2 7 18
Screening designs 0 0 0 0 0 2 2 5
Screening the Many Inputs of Realistic Simulation Models 0 0 0 1 1 2 3 6
Simulation Optimization 0 0 0 0 1 1 3 5
Simulation optimization 0 0 0 0 1 1 1 5
Total Chapters 0 0 0 1 7 12 27 75

logo

LogEc Home

Top Working Papers
Top Journal Articles
Top Books
Top Chapters
Top Software Items

Top Authors

Top Working Paper series and Journals

About LogEc

Authors with papers registered in the RePEc Author Service.

Register yourself as an author or register more papers in the RePEc Author Service.

Authors with no registered papers

RePEc
LogEc provides access and usage statistics for services based on the RePEc data set.

Örebro UniversityLogEc is hosted by the Örebro University School of Business.

Questions or comments? Please see our explanation of how the statistics are collected or e-mail

Statistics updated 2025-12-06