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An introductory level text covering linear, generalized linear, linear mixed-effects, and generalized mixed models implemented in R and set within a contemporary framework.

Produktbeschreibung
An introductory level text covering linear, generalized linear, linear mixed-effects, and generalized mixed models implemented in R and set within a contemporary framework.
  • Produktdetails
  • Verlag: OXFORD UNIV PR
  • Seitenzahl: 208
  • Erscheinungstermin: 15. März 2015
  • Englisch
  • Abmessung: 246mm x 173mm x 15mm
  • Gewicht: 567g
  • ISBN-13: 9780198729051
  • ISBN-10: 0198729057
  • Artikelnr.: 47871088
Autorenporträt
Andy Hector is Professor of Ecology in the University of Oxford's Department of Plant Sciences. He currently convenes and teaches statistics on the Quantitative Methods for Biologists course for undergraduates. He is a community ecologist interested in biodiversity loss and its consequences for ecosystem functioning, stability and services and scientific PI of the Sabah Biodiversity Experiment. He has contributed to several publications on ecological analysis.
Inhaltsangabe
1 Introduction
2 Comparing Groups: Analysis of Variance
3 Comparing Groups: Student's t test
4 Linear Regression
5 Comparisons using Estimates and Intervals
6 Interactions
7 Analysis of Covariance: ANCOVA
8 Maximum Likelihood and Generalized Linear Models
9 Generalized Linear Models for Data with Non-Normal Distributions
10 Mixed Effects Models
11 Generalized Linear Mixed-effects Models
12 Final Thoughts
Appendix 1: A very short introduction to the R programming language for statistics and graphics