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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. |
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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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E-Book | Location | Media type | Volume | Call No. | Status | Reserve | Comments | ISBN | Printed | Restriction | Designated Book | Barcode No. |
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E-Book | オンライン | 電子ブック |
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Springer eBooks | 9783030998882 |
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EB00200293 |