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Design and analysis of simulation experiments : tutorial

Kleijnen, Jack P. C. - 2017

Persistent link: https://www.econbiz.de/10011643247

Efficient budget allocation strategies for elementary effectsmethod in stochastic simulation

Shi, Wen; Chen, Xi - In: Naval research logistics : an international journal 65 (2018) 3, pp. 218-241

Persistent link: https://www.econbiz.de/10012166187

An efficient Morris method-based framework for simulation factor screening

Shi, Wen; Chen, Xi; Shang, Jennifer - In: INFORMS journal on computing : JOC 31 (2019) 4, pp. 745-770

Persistent link: https://www.econbiz.de/10012125742

Generating and validating cluster sampling matrices for model-free factor screening

Shi, Wen; Chen, Ao; Xie, Xiang - In: European journal of operational research : EJOR 313 (2024) 1, pp. 241-257

Persistent link: https://www.econbiz.de/10014456556

Comparisons with a Standard in Simulation Experiments

Nelson, Barry L.; Goldsman, David - In: Management Science 47 (2001) 3, pp. 449-463

We consider the problem of comparing a finite number of stochastic systems with respect to a single system (designated as the "standard") via simulation experiments. The comparison is based on expected performance, and the goal is to determine if any system has larger expected performance than...

Persistent link: https://www.econbiz.de/10009197595

Controlled multistage selection procedures for comparison with a standard

Tsai, Shing Chih; Chu, I-Hao - In: European Journal of Operational Research 223 (2012) 3, pp. 709-721

Comparison with a standard is a general multiple comparison problem, where each system is required to be compared to a single system, referred to as a “standard”, as well as to other alternative systems. The goal is to determine the best system among a number of systems that are better than...

Persistent link: https://www.econbiz.de/10011052666

Comparison of Gaussian process modeling software

Erickson, Collin B.; Ankenman, Bruce E.; Sanchez, Susan M. - In: European journal of operational research : EJOR 266 (2018) 1, pp. 179-192

Persistent link: https://www.econbiz.de/10011811641

Finite sample correction factors for panel cointegration tests

Hlouskova, Jaroslava; Wagner, Martin - 2009

In this paper we present finite T mean and variance correction factors and corresponding response surface regressions for the panel cointegration tests presented in Pedroni (1999, 2004), Westerlund (2005), Larsson et al. (2001), and Breitung (2005). For the single equation tests we consider up...

Persistent link: https://www.econbiz.de/10010294038

A Methodology for Fitting and Validating Metamodels in Simulation

Kleijnen, Jack P.C.; Sargent, R. - Tilburg University, Center for Economic Research - 1997

This expository paper discusses the relationships among metamodels, simulation models, and problem entities. A … and validating a metamodel. Metamodels may have different goals: (i) understanding, (ii) prediction, (iii) optimization …. Metamodels in general are covered, along with a procedure for developing linear regression (including polynomial) metamodels. …

Persistent link: https://www.econbiz.de/10011092434

A multi-perspective comparison for selection between system dynamics and discrete event simulation

Chahal, Kirandeep; Eldabi, Tillal - In: International journal of business information systems : … 6 (2010) 1, pp. 4-17

Persistent link: https://www.econbiz.de/10003997908

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