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This article is cited in 1 scientific paper (total in 1 paper)
On a statistic for testing the homogeneity of polynomial samples
A. M. Zubkov, B. I. Selivanov Steklov Mathematical Institute of Russian Academy of Sciences
Abstract:
We consider $M \geqslant 2$ independent polynomial samples with $N$ outcomes. For the case when $M$ and $N$ are fixed but sizes of samples tend to infinity we find limit distributions of a new statistic ${\sigma^2}$: chi-square distribution with $(M - 1)(N - 1)$ degrees of freedom if samples are statistically homogeneous, non-central chi-square distribution with the same number of degrees of freedom if samples are «convergent» to homogeneous ones, and normal distribution if samples are statistically nonhomogeneous.
Keywords:
polynomial samples, homogeneity test, non-central chi-square distribution.
Received: 26.12.2013
Citation:
A. M. Zubkov, B. I. Selivanov, “On a statistic for testing the homogeneity of polynomial samples”, Diskr. Mat., 26:3 (2014), 30–44; Discrete Math. Appl., 25:2 (2015), 109–120
Linking options:
https://www.mathnet.ru/eng/dm1288https://doi.org/10.4213/dm1288 https://www.mathnet.ru/eng/dm/v26/i3/p30
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