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Important applications of the Behrens-Fisher statistic and the false discovery rate

Record Type:	Electronic resources : Monograph/item
Title/Author:	Important applications of the Behrens-Fisher statistic and the false discovery rateby Tejas A. Desai.
Author:	Desai, Tejas A.
Published:	Cham :Springer International Publishing :2022.
Description:	vi, 83 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Analysis of variance.
Online resource:	https://doi.org/10.1007/978-3-030-99888-2
ISBN:	9783030998882$q(electronic bk.)

Important applications of the Behrens-Fisher statistic and the false discovery rate
Desai, Tejas A.

Important applications of the Behrens-Fisher statistic and the false discovery rate[electronic resource] /by Tejas A. Desai. - Cham :Springer International Publishing :2022. - vi, 83 p. :ill., digital ;24 cm. - SpringerBriefs in statistics,2191-5458. - SpringerBriefs in statistics..

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.

ISBN: 9783030998882$q(electronic bk.)

Standard No.: 10.1007/978-3-030-99888-2doiSubjects--Topical Terms:

181863
Analysis of variance.

LC Class. No.: QA279 / .D47 2022

Dewey Class. No.: 519.538

Important applications of the Behrens-Fisher statistic and the false discovery rate
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520 $a 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.
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