Introduction to Nonparametric Statistics for the Biological Sciences Using R

This book contains a rich set of tools for nonparametric analyses, and the purpose of this supplemental text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences: To introduce when nonparametric approaches to data...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: MacFarland, Thomas W. (Auteur), Yates, Jan M. (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: Cham : Springer International Publishing : Imprint: Springer, 2016.
Édition:1st ed. 2016.
Sujets:
Biometry.
Mathematical statistics-Data processing.
Agriculture.
Statistics .
Biostatistics.
Statistics and Computing.
Statistical Theory and Methods.
Accès en ligne:Texto Completo
Table des matières:
  • Chapter 1 Nonparametric Statistics for the Biological Sciences
  • Chapter 2 Sign Test
  • Chapter 3 Chi-Square
  • Chapter 4 Mann-Whitney U Test
  • Chapter 5 Wilcoxon Matched-Pairs Signed-Ranks Test
  • Chapter 6 Kruskal-Wallis H-Test for Oneway Analysis of Variance (ANOVA) by Ranks
  • Chapter 7 Friedman Twoway Analysis of Variance (ANOVA) by Ranks
  • Chapter 8 Spearman's Rank-Difference Coefficient of Correlation
  • Chapter 9 Other Nonparametric Tests for the Biological Sciences.

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