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Автор Hyakutake, Hiroto
Дата выпуска 1988
dc.description This paper considers a general treatment for the probrem of selecting the best (with respect to mean vector) from several multivariate normal populations. The problem is solved for known covariance matrices, as well as for unknown covariance matrices. Asymptotic properties of the sample size are also discussed.
Формат application.pdf
Издатель Marcel Dekker, Inc.
Копирайт Copyright Taylor and Francis Group, LLC
Тема multivariate normal population
Тема selection
Тема probability requirement
Тема two-stage sampling procedure
Название A general treatment for selecting the best of several multivariate normal populations
Тип research-article
DOI 10.1080/07474948808836154
Electronic ISSN 1532-4176
Print ISSN 0747-4946
Журнал Sequential Analysis
Том 7
Первая страница 243
Последняя страница 258
Аффилиация Hyakutake, Hiroto; Faculty of Science Hiroshima University
Выпуск 3
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Библиографическая ссылка Siotani, M., Hayakawa, T. and Fujikoshi, Y. 1985. Modern Multivariate Statistical Analysis: A Graduate Course and Handbook, Columbus, Ohio: American Sciences Press.
Библиографическая ссылка Stein, C. 1945. A Two-sample test for a linear hypothesis whose power is independent of the variance. Ann. Math. Statist., 16: 243–258.

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