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Teoriya Veroyatnostei i ee Primeneniya, 1977, Volume 22, Issue 4, Pages 813–822 (Mi tvp3628)  

This article is cited in 2 scientific papers (total in 2 papers)

The distribution of Sherman's weighted statistic for contiguous alternatives

E. M. Kudlaev

Moscow
Abstract: Let $U_n(1),\dots,U_n(n)$ be the variational series of a simple random sample of size $n$ from the uniform distribution on [0, 1].
In this paper, the asymptotical distribution (as $n\to\infty$) of statistic
$$ \xi_n=\frac{1}{2}\sum_{j=1}^{n+1}a\biggl(\frac{j}{n+1}\biggr) \biggl|\varphi_n(U_n(j))-\varphi_n(U_n(j-1))-\frac{1}{n+1}\biggr| $$
is derived, where $a(u)$, $0\le u\le 1$, is a weight function,
$$ \varphi_n(u)=u+\frac{1}{\sqrt{n+1}}\int_0^u b_n(x)\,dx,\qquad\int_0^u b_n(x)\,dx=O(1). $$

The result obtained is used to construct a goodness-of-fit test.
Received: 24.07.1975
English version:
Theory of Probability and its Applications, 1978, Volume 22, Issue 4, Pages 794–804
DOI: https://doi.org/10.1137/1122090
Bibliographic databases:
Language: Russian
Citation: E. M. Kudlaev, “The distribution of Sherman's weighted statistic for contiguous alternatives”, Teor. Veroyatnost. i Primenen., 22:4 (1977), 813–822; Theory Probab. Appl., 22:4 (1978), 794–804
Citation in format AMSBIB
\Bibitem{Kud77}
\by E.~M.~Kudlaev
\paper The distribution of Sherman's weighted statistic for contiguous alternatives
\jour Teor. Veroyatnost. i Primenen.
\yr 1977
\vol 22
\issue 4
\pages 813--822
\mathnet{http://mi.mathnet.ru/tvp3628}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=458675}
\zmath{https://zbmath.org/?q=an:0391.62034}
\transl
\jour Theory Probab. Appl.
\yr 1978
\vol 22
\issue 4
\pages 794--804
\crossref{https://doi.org/10.1137/1122090}
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  • https://www.mathnet.ru/eng/tvp/v22/i4/p813
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Теория вероятностей и ее применения Theory of Probability and its Applications
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