Volume 13, Issue 1 (March 2014)                   JIRSS 2014, 13(1): 57-67 | Back to browse issues page

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Jafari A A, Kazemi M R. Inferences on the Generalized Variance under Normality. JIRSS. 2014; 13 (1) :57-67
URL: http://jirss.irstat.ir/article-1-256-en.html
Abstract:   (8986 Views)

Generalized variance is applied for determination of dispersion in a multivariate population and is a successful measure for concentration of multivariate data. In this article, we consider constructing confidence interval and testing the hypotheses about generalized variance in a multivariate normal distribution and give a computational approach. Simulation studies are performed to compare this approach and three approximate methods the simulations show that our approach is satisfactory. At the end, two practical examples are given.

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Received: 2014/03/17 | Accepted: 2014/03/17 | Published: 2014/03/17

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