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This article is cited in 3 scientific papers (total in 3 papers)
Convergence of the sequence of the Pearson statistics values to the normalized square of the Bessel process
A. M. Zubkova, M. P. Savelovb a Steklov Mathematical Institute of Russian Academy of Sciences
b Lomonosov Moscow State University
Abstract:
It is shown that, with suitable time change, the finite-dimensional distributions of the process formed by successive values of the Pearson statistics for an expanding sample converge to finite-dimensional distributions of the stationary random process, namely, the normalized square of the Bessel process. The results obtained earlier on the limit joint distributions of the Pearson statistics are used to derive explicit formulas for the density of joint distributions of the Bessel process.
Keywords:
Pearson statictics, sequential chi-square test, Bessel process.
Received: 24.06.2016
Citation:
A. M. Zubkov, M. P. Savelov, “Convergence of the sequence of the Pearson statistics values to the normalized square of the Bessel process”, Diskr. Mat., 28:3 (2016), 49–58; Discrete Math. Appl., 27:6 (2017), 405–411
Linking options:
https://www.mathnet.ru/eng/dm1383https://doi.org/10.4213/dm1383 https://www.mathnet.ru/eng/dm/v28/i3/p49
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Abstract page: | 495 | Full-text PDF : | 147 | References: | 55 | First page: | 31 |
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