On Some Multiple Decision Procedures for Normal Variances |
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Authors: | Ching-Ching Lin |
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Institution: | General Education Center , National Taipei University of Technology , Taiwan, R.O.C. |
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Abstract: | In this article, we propose a multiple decision procedure to test the homogeneity of normal variances. If the null-hypothesis is rejected, our goal is to select a subset containing the population associated with the largest variance. An approximation for the critical value is obtained by deriving an approximate distribution for a linear combination of independent log-gamma distributed random variables. A lower bound for the probability of correct decision is obtained. We also study the determination of the common sample size in order to satisfy a given probability of correct decision when the largest variance is “sufficiently” larger than the rest. |
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Keywords: | Log-gamma distribution Multiple decision procedure Normal variances |
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