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Important Applications of the Behrens-Fisher Statistic and the False Discovery Rate
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Important Applications of the Behrens-Fisher Statistic and the False Discovery Rate/ by Tejas A. Desai.
Author:
Desai, Tejas A.
Description:
VI, 83 p.online resource. :
Contained By:
Springer Nature eBook
Subject:
Statistics . -
Online resource:
https://doi.org/10.1007/978-3-030-99888-2
ISBN:
9783030998882
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. - 1st ed. 2022. - VI, 83 p.online resource. - SpringerBriefs in Statistics,2191-5458. - SpringerBriefs in Statistics,0.
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
Standard No.: 10.1007/978-3-030-99888-2doiSubjects--Topical Terms:
1253516
Statistics .
LC Class. No.: QA276-280
Dewey Class. No.: 519.5
Important Applications of the Behrens-Fisher Statistic and the False Discovery Rate
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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.
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