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:: Volume 10, Issue 1 (8-2016) ::
JSS 2016, 10(1): 21-44 Back to browse issues page
Perspectives of Hypothesis Testing of Ordered Means in Univariate and Multivariate Normal Distributions
Abouzar Bazyari *
Abstract:   (10374 Views)

Hypothesis testing the homogeneity of means of k univariate normal populations against the hypothesis of one sided ordered means with unknown and equal variances is considered. A new completely method to find the uniformly most powerful test at significance level α is presented based on the multivariate t distribution. Since for more than two populations finding the null distribution of test statistic is not easy, the power of test is computed and then the critical values of test statistic for different significance levels obtained. This testing method is used for real examples. Also testing homogeneity of k mean vectors against two sided ordered mean vectors of multivariate normal populations is considered. Using Monte Carlo simulation the values of classical power of test for two bivariate and trivariate normal distributions at different significance levels are compared.

Keywords: Hypothesis testing of ordered means, Uniformly most powerful test, Multivariate isotonic regression, Monte Carlo simulation
Full-Text [PDF 594 kb]   (2451 Downloads)    
Type of Study: Research | Subject: Statistical Inference
Received: 2013/11/26 | Accepted: 2015/09/26 | Published: 2016/05/19
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Bazyari A. Perspectives of Hypothesis Testing of Ordered Means in Univariate and Multivariate Normal Distributions. JSS 2016; 10 (1) :21-44
URL: http://jss.irstat.ir/article-1-256-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 10, Issue 1 (8-2016) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences

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