On null and alternative distribution of statistics of two-side discordancy test for an extreme outlier
Izvestiâ vysših učebnyh zavedenij. Matematika, no. 10 (2014), pp. 62-78.

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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 statistics which uses in two-side discordancy test for an extreme outlier. We obtain recursive relationships for the distribution function of the statistics, which uses in two-side discordancy test. We obtain the region of critical values of the statistics, 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.
Keywords: outlier, two-side discordancy test for an extreme outlier, the joint distribution of Grubbs statistics, the power function for the criteria, normal sample.
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L. K. Shiryaeva. On null and alternative distribution of statistics of two-side discordancy test for an extreme outlier. Izvestiâ vysših učebnyh zavedenij. Matematika, no. 10 (2014), pp. 62-78. http://geodesic.mathdoc.fr/item/IVM_2014_10_a7/

[1] Deivid G., Poryadkovye statistiki, Nauka, M., 1979 | MR

[2] Barnett V., Lewis T., Outliers in statistical data, John Wiley Sons, Chichester, 1984 | MR | Zbl

[3] Grubbs F., “Sample criteria for testing outlying observations”, Ann. Math. Statist., 21:1 (1950), 27–58 | DOI | MR | Zbl

[4] Zhang J., Keming Y., “The null distribution of the likelihood-ratio test for one or two outliers in a normal sample”, An Official Journal of the Spanish Society of Statistics and Operations Research, 15:1 (2006), 141–150 | MR | Zbl

[5] Bolshev L. N., Smirnov N. V., Tablitsy matematicheskoi statistiki, Nauka, M., 1983 | MR | Zbl

[6] Kazakavichyus K. A., “Priblizhennye formuly dlya statisticheskoi obrabotki rezultatov mekhanicheskikh ispytanii”, Zavodskaya laboratoriya, 54:12 (1988), 82–85

[7] Verma S. P., Quiroz-Ruiz A., “Critical values for 22 discordancy test variants for outliers in normal samples up to size 100, and application in science and engineering”, Revista Mexicana de Ciencias Geologicas, 23:3 (2006), 302–319

[8] Livesey J. H., “Curtosis provides a good omnibus test for outliers in small samples”, Clinical Biochemistry, 40 (2007), 1032–1036 | DOI

[9] Shiryaeva L. K., “Vychislenie mer moschnosti kriteriya Grabbsa proverki na odin vybros”, Sib. zhurn. industr. matem., 13:4 (2010), 141–154 | MR | Zbl

[10] Shiryaeva L. K., “Ispolzovanie spetsialnykh funktsii Ermita dlya issledovaniya moschnostnykh svoistv kriteriya Grabbsa”, Vestn. Samarsk. gos. tekhn. un-ta. Ser. fiz.-matem. nauki, 2012, no. 4(29), 131–145 | DOI

[11] Regiony Rossii. Sotsialno-ekonomicheskie pokazateli, Stat. sb., Rosstat, M., 2012

[12] Zhang J., Wang X., “Unmasking test for multiple upper or lower outliers in normal samples”, J. Appl. Statistics, 25:2 (1998), 257–261 | DOI | Zbl