It takes the average reader and 56 minutes to read A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem by Tejas Desai
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In statistics, the Behrens–Fisher problem is the problem of interval estimation and hypothesis testing concerning the difference between the means of two normally distributed populations when the variances of the two populations are not assumed to be equal, based on two independent samples. In his 1935 paper, Fisher outlined an approach to the Behrens-Fisher problem. Since high-speed computers were not available in Fisher’s time, this approach was not implementable and was soon forgotten. Fortunately, now that high-speed computers are available, this approach can easily be implemented using just a desktop or a laptop computer. Furthermore, Fisher’s approach was proposed for univariate samples. But this approach can also be generalized to the multivariate case. In this monograph, we present the solution to the afore-mentioned multivariate generalization of the Behrens-Fisher problem. We start out by presenting a test of multivariate normality, proceed to test(s) of equality of covariance matrices, and end with our solution to the multivariate Behrens-Fisher problem. All methods proposed in this monograph will be include both the randomly-incomplete-data case as well as the complete-data case. Moreover, all methods considered in this monograph will be tested using both simulations and examples.
A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem by Tejas Desai is 55 pages long, and a total of 14,025 words.
This makes it 19% the length of the average book. It also has 17% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 1 hour and 16 minutes to read A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem aloud.
A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem is suitable for students ages 8 and up.
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