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＜E-Book＞
Important Applications of the Behrens-Fisher Statistic and the False Discovery Rate / by Tejas A. Desai
(SpringerBriefs in Statistics. ISSN:21915458)

Edition	1st ed. 2022.
Publisher	Cham : Springer International Publishing : Imprint: Springer
Year	2022
Size	VI, 83 p : online resource
Authors	*Desai, Tejas A author SpringerLink (Online service)
Subjects	LCSH:Statistics  FREE:Statistical Theory and Methods FREE:Statistics FREE:Applied Statistics
Notes	1. Introduction -- 2. An Introduction to the Bootstrap -- 3. An Introduction to the False Discovery Rate -- 4. Application to ANOVA and MANOVA -- 5. Application to Testing Equality of Several Variances and Several Covariance Matrices -- 6. Application to Testing Equality of Several Medians -- 7. Testing for Symmetry of Univariate Distributions and Central Symmetry of Multivariate Distributions This compact volume discusses important applications of the Behrens-Fisher statistic and the False Discovery Rate (FDR). Covered applications include ANOVA and MANOVA under potentially non-normal errors and heteroscedasticity; and an intuitive method of analyzing s x r contingency tables when the column variable is ordinal. This book also explores the novel possibility that these applications may be deemed nonparametric HTTP:URL=https://doi.org/10.1007/978-3-030-99888-2

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