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
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
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