Robustness of a multiple ranking procedure: a monte carlo experiment illustrating design and analysis techniques
作者:
Jack P.C. Kleijnen,
期刊:
Communications in Statistics - Simulation and Computation
(Taylor Available online 1977)
卷期:
Volume 6,
issue 3
页码: 235-262
ISSN:0361-0918
年代: 1977
DOI:10.1080/03610917708812042
出版商: Marcel Dekker, Inc.
关键词: simulation;regression analysis;analysis of variance;antithetic variables;sample size;simultaneous inference
数据来源: Taylor
摘要:
This case study demonstrates statistical design and analysis techniques applicable to any Monte Carlo or simulation experiment, namely a 27−3experimental design, antithetic variates, sample size determination, analysis of variance, regression analysis, and simultaneous inference. The example is a Monte Carlo investigation of the robustness of Bechhofer and Blumenthal’s multiple ranking procedure (MRP). The investigation shows that their procedure works often, but not always. Factors that make it break down, are identified.
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