Validation and statistical analysis procedures under the common random number correlation-induction strategy for multipopulation simulation experiments

DOI10.1016/0377-2217(93)E0222-JzbMath0900.62662MaRDI QIDQ1127254

Shirish Joshi, Jeffrey D. Tew

Publication date: 9 November 1998

Published in: European Journal of Operational Research (Search for Journal in Brave)

zbMATH Keywords

linear modelssimultaneous confidence intervalsmetamodelsvariance reduction techniquesUMVU estimates

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Applications of statistics (62P99) Random number generation in numerical analysis (65C10)

Cites Work

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• Some properties of simulation interval estimators under dependence induction
• Statistical Analysis for Use with the Schruben and Margolin Correlation Induction Strategy
• On the Strong Law of Large Numbers and Related Results for Quasi-Stationary Sequences
• Validation of Simulation Analysis Methods for the Schruben-Margolin Correlation-Induction Strategy
• Pseudorandom Number Assignment in Statistically Designed Simulation and Distribution Sampling Experiments
• Strategies for Combining Antithetic Variates and Control Variates in Designed Simulation Experiments
• Combined correlation methods for metamodel estimation in multipopulation simulation experiments
• A GENERAL DISTRIBUTION THEORY FOR A CLASS OF LIKELIHOOD CRITERIA

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