A k-stage procedure for estimating the mean vector of a multivariate normal population

In this article, we have estimated the mean vector of a multivariate normal population by using a k-stage sequential estimation procedure. Point estimation as well as confidence region estimation is done. Second-order approximations are obtained in both the cases. In case of minimum risk point estim...

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Published inSequential analysis Vol. 38; no. 3; pp. 369 - 384
Main Authors Chaturvedi, Ajit, Bapat, Sudeep R., Joshi, Neeraj
Format Journal Article
LanguageEnglish
Published Philadelphia Taylor & Francis 03.07.2019
Taylor & Francis Ltd
Subjects
Confidence region estimation
k-stage procedure
minimum risk
Multivariate analysis
multivariate normal population
point estimation
regret
second-order approximations
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Abstract In this article, we have estimated the mean vector of a multivariate normal population by using a k-stage sequential estimation procedure. Point estimation as well as confidence region estimation is done. Second-order approximations are obtained in both the cases. In case of minimum risk point estimation of , negative regret is achieved.
AbstractList In this article, we have estimated the mean vector [Formula omitted.] of a multivariate normal population by using a k-stage [Formula omitted.] sequential estimation procedure. Point estimation as well as confidence region estimation is done. Second-order approximations are obtained in both the cases. In case of minimum risk point estimation of [Formula omitted.] , negative regret is achieved.
In this article, we have estimated the mean vector of a multivariate normal population by using a k-stage sequential estimation procedure. Point estimation as well as confidence region estimation is done. Second-order approximations are obtained in both the cases. In case of minimum risk point estimation of , negative regret is achieved.
Author Chaturvedi, Ajit
Bapat, Sudeep R.
Joshi, Neeraj
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10.1111/j.1469-1809.1936.tb02137.x
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10.1016/S0378-3758(97)00048-7
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References Anscombe F. J. (CIT0001) 1953; 15
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Snippet In this article, we have estimated the mean vector of a multivariate normal population by using a k-stage sequential estimation procedure. Point estimation as...
In this article, we have estimated the mean vector [Formula omitted.] of a multivariate normal population by using a k-stage [Formula omitted.] sequential...
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SubjectTerms Confidence region estimation
k-stage procedure
minimum risk
Multivariate analysis
multivariate normal population
point estimation
regret
second-order approximations
Title A k-stage procedure for estimating the mean vector of a multivariate normal population
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