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Bayesian slippage test for detection of outlying sub-samples

✍ Scribed by Ashok K. Singh; Anita Singh

Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
214 KB
Volume
277
Category
Article
ISSN
0003-2670

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✦ Synopsis

A data set which can be divided into k 2 2 distinct sub-samples is considered. The problem of testing of hypothesis of homogeneity of means or variances of the k sub-populations arises, for example, in estimation of background contamination in soil and groundwater in environmental investigations. We have considered the problem from a Bayesian approach. Cut-off points are computed for a Bayes test for testing the null hypothesis that all sub-samples have the same means versus the slippage alternatives that t <k of these sub-samples have higher means. Some examples are given.

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