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Title: Asymptotic normality of multivariate linear rank statistics under general alternatives (English)
Author: Koziol, James A.
Language: English
Journal: Aplikace matematiky
ISSN: 0373-6725
Volume: 24
Issue: 5
Year: 1979
Pages: 326-347
Summary lang: English
Summary lang: Czech
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Category: math
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Summary: Let $X_j, 1\leq j\leq N$, be independent random $p$-vectors with respective continuous cumulative distribution functions $F_j 1\leq j\leq N$. Define the $p$-vectors $R_j$ by setting $R_{ij}$ equal to the rank of $X_{ij}$ among $X_{ij}, \ldots, X_{iN}, 1\leq i \leq p, 1\leq j \leq N$. Let $a^{(N)}(.)$ denote a multivariate score function in $R_p$, and put $S= \sum ^N_{j=1} c_ja^{(N)}(R_j)$, the $c_j$ being arbitrary regression constants. In this paper the asymptotic distribution of $S$ is investigated under various sets of conditions on the constants, the score functions, and the underlying distribution functions. In particular, asymptotic normality of $S$ is established under the circumstance that the $F_j$ are merely continuous. In addition, under mild conditions, centering vectors for $S$ are found. (English)
Keyword: asymptotic normality of multivariate linear rank statistics
Keyword: general alternatives
MSC: 62E20
MSC: 62G10
MSC: 62H10
idZBL: Zbl 0436.62022
idMR: MR0547037
DOI: 10.21136/AM.1979.103814
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Date available: 2008-05-20T18:12:35Z
Last updated: 2020-07-28
Stable URL: http://hdl.handle.net/10338.dmlcz/103814
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Reference: [7] Puri M. L., Sen P. K.: Nonparametric Methods in Multivariate Analysis.John Wiley, New York, 1971. Zbl 0237.62033, MR 0298844
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