Robustness of a multiple ranking procedure: a monte carlo experiment illustrating design and analysis techniques
- 1 January 1977
- journal article
- research article
- Published by Taylor & Francis in Communications in Statistics - Simulation and Computation
- Vol. 6 (3) , 235-262
- https://doi.org/10.1080/03610917708812042
Abstract
This case study demonstrates statistical design and analysis techniques applicable to any Monte Carlo or simulation experiment, namely a 27−3 experimental 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.Keywords
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