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Avtomatika i Telemekhanika, 2010, Issue 7, Pages 83–102 (Mi at849)  
This article is cited in 9 scientific papers (total in 9 papers)

Statistical Methods in Reliability Theory

Modeling statistic distributions for nonparametric goodness-of-fit criteria for testing complex hypotheses with respect to the inverse Gaussian law

B. Yu. Lemeshkoa, S. B. Lemeshkoa, M. S. Nikulinb, N. Saaidiab

a Novosibirsk State Technical University
b Victor Segalen Université Bordeaux 2, Bordeaux, France
Full-text PDF (304 kB) Citations (9)
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Abstract: We give percentage point tables and statistic distribution models for non-parametric goodness-of-fit criteria for testing complex hypothesis with respect to the inverse Gaussian law in case of using maximal likelihood estimates.
Presented by the member of Editorial Board: B. G. Volik

Received: 20.08.2010
English version:
Automation and Remote Control, 2010, Volume 71, Issue 7, Pages 1358–1373
DOI: https://doi.org/10.1134/S000511791007009X
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: B. Yu. Lemeshko, S. B. Lemeshko, M. S. Nikulin, N. Saaidia, “Modeling statistic distributions for nonparametric goodness-of-fit criteria for testing complex hypotheses with respect to the inverse Gaussian law”, Avtomat. i Telemekh., 2010, no. 7, 83–102; Autom. Remote Control, 71:7 (2010), 1358–1373
Citation in format AMSBIB
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    • This publication is cited in the following 9 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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    References:72
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