On null and alternative distribution of statistic of two-side discordancy test for an extreme outlier. (English. Russian original) Zbl 1308.62024
Russ. Math. 58, No. 10, 52-66 (2014); translation from Izv. Vyssh. Uchebn. Zaved., Mat. 2014, No. 10, 62-78 (2014).
Summary: We find the joint distribution of Grubbs statistics for a normal sample. Those statistics are standardized maximum and standardized minimum. We note some properties of the joint distribution function. We apply the joint distribution function and find the exact distribution of the test statistic which uses in two-sided discordancy test for an extreme outlier. We obtain recursive relationships for the distribution function of the statistic, which uses in two-sided discordancy test. We obtain the region of critical values of the statistic, where the significance level of criteria equals the double significance level of the Grubbs criteria. We apply the joint distribution of Grubbs statistics and find the power function for the criteria in the case of a normal sample with a single outlier.
MSC:
| 62E15 | Exact distribution theory in statistics |
Keywords:
outlier; two-sided discordancy test for an extreme outlier; joint distribution of Grubbs statistics; power function for the criteria; normal sampleReferences:
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