A Multiple-Testing Approach to the Multivariate by Tejas Desai PDF

By Tejas Desai

ISBN-10: 1461464420

ISBN-13: 9781461464426

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​    In data, the Behrens–Fisher challenge is the matter of period estimation and speculation trying out in regards to the distinction among the technique of mostly allotted populations while the variances of the 2 populations are usually not assumed to be equivalent, in accordance with self reliant samples. In his 1935 paper, Fisher defined an  approach to the Behrens-Fisher challenge.  Since high-speed desktops weren't to be had in Fisher’s time, this process was once no longer implementable and was once quickly forgotten. thankfully, now that high-speed pcs can be found, this procedure can simply be applied utilizing only a computer or a pc machine. in addition, Fisher’s method used to be proposed for univariate samples. yet this strategy is additionally generalized to the multivariate case.

     In this monograph, we current the answer to the afore-mentioned multivariate generalization of the Behrens-Fisher challenge.  We start off through offering  a attempt of multivariate normality, continue to test(s) of equality of covariance matrices, and finish with our way to the multivariate Behrens-Fisher challenge. All tools proposed during this monograph should be contain either the randomly-incomplete-data case in addition to the complete-data case. in addition, all tools thought of during this monograph may be validated utilizing either simulations and examples.

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A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem: with Simulations and Examples in SAS® (SpringerBriefs in Statistics) by Tejas Desai


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