Important Applications of the Behrens-Fisher Statistic and the False Discovery Rate / SpringerBriefs in Statistics (PDF)
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Tejas A. Desai
Tejas A. Desai received his PhD in Biostatistics from the University of North Carolina at Chapel Hill in 2003. He has worked at the National Institute of Environmental Health Sciences in North Carolina, at the Indian Institute of Management at Ahmedabad (IIMA), and at the Adani Institute of Infrastructure Management (AIIM). He is now a freelance consultant.
Bibliographische Angaben
- Autor: Tejas A. Desai
- 2022, 1st ed. 2022, 83 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030998886
- ISBN-13: 9783030998882
- Erscheinungsdatum: 16.06.2022
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- Größe: 0.52 MB
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Englisch
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