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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.
- Produktdetails
- Verlag: Oxford University Press
- Seitenzahl: 199
- Erscheinungstermin: März 2015
- Englisch
- Abmessung: 243mm x 169mm x 17mm
- Gewicht: 425g
- ISBN-13: 9780198729068
- ISBN-10: 0198729065
- Artikelnr.: 41883513
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