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Some one-sample hypothesis testing problems when there is a monotone sample from a multivariate normal population

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  • R. Bhargava

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  • R. Bhargava, 1975. "Some one-sample hypothesis testing problems when there is a monotone sample from a multivariate normal population," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 27(1), pages 327-339, December.
    • Handle: RePEc:spr:aistmt:v:27:y:1975:i:1:p:327-339
    DOI: 10.1007/BF02504652
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    Cited by:

    1. Hironori Fujisawa, 1996. "The maximum likelihood estimators in a multivariate normal distribution with AR(1) covariance structure for monotone data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 48(3), pages 423-428, September.
    2. Chang, Wan-Ying & Richards, Donald St.P., 2009. "Finite-sample inference with monotone incomplete multivariate normal data, I," Journal of Multivariate Analysis, Elsevier, vol. 100(9), pages 1883-1899, October.
    3. Batsidis, A. & Zografos, K. & Loukas, S., 2006. "Errors in discrimination with monotone missing data from multivariate normal populations," Computational Statistics & Data Analysis, Elsevier, vol. 50(10), pages 2600-2634, June.
    4. Richards, Donald St. P. & Yamada, Tomoya, 2010. "The Stein phenomenon for monotone incomplete multivariate normal data," Journal of Multivariate Analysis, Elsevier, vol. 101(3), pages 657-678, March.
    5. Chang, Wan-Ying & Richards, Donald St. P., 2010. "Finite-sample inference with monotone incomplete multivariate normal data, II," Journal of Multivariate Analysis, Elsevier, vol. 101(3), pages 603-620, March.

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