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Diskretnaya Matematika, 2020, Volume 32, Issue 3, Pages 76–84
DOI: https://doi.org/10.4213/dm1598
(Mi dm1598)
 

A family of asymptotically independent statistics in polynomial scheme containing the Pearson statistic

M. P. Savelov

Novosibirsk State University
References:
Abstract: We consider a polynomial scheme with $N$ outcomes. The Pearson statistic is the classical one for testing the hypothesis that the probabilities of outcomes are given by the numbers $p_1,\ldots,p_N$. We suggest a couple of $N-2$ statistics which along with the Pearson statistics constitute a set of $N-1$ asymptotically jointly independent random variables, and find their limit distributions. The Pearson statistics is the square of the length of asymptotically normal random vector. The suggested statistics are coordinates of this vector in some auxiliary spherical coordinate system.
Keywords: Chi-square test, Pearson statistics, limit distributions, angular statistics.
Funding agency Grant number
Russian Science Foundation 17-11-01173
Received: 19.11.2019
English version:
Discrete Mathematics and Applications, 2022, Volume 32, Issue 1, Pages 39–45
DOI: https://doi.org/10.1515/dma-2022-0003
Bibliographic databases:
Document Type: Article
UDC: 513.213
Language: Russian
Citation: M. P. Savelov, “A family of asymptotically independent statistics in polynomial scheme containing the Pearson statistic”, Diskr. Mat., 32:3 (2020), 76–84; Discrete Math. Appl., 32:1 (2022), 39–45
Citation in format AMSBIB
\Bibitem{Sav20}
\by M.~P.~Savelov
\paper A family of asymptotically independent statistics in polynomial scheme containing the Pearson statistic
\jour Diskr. Mat.
\yr 2020
\vol 32
\issue 3
\pages 76--84
\mathnet{http://mi.mathnet.ru/dm1598}
\crossref{https://doi.org/10.4213/dm1598}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=4147019}
\transl
\jour Discrete Math. Appl.
\yr 2022
\vol 32
\issue 1
\pages 39--45
\crossref{https://doi.org/10.1515/dma-2022-0003}
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