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Can I read Generalized Linear Models With Examples in R (Springer Texts in Statistics) on EtoBox?
Generalized Linear Models With Examples in R (Springer Texts in Statistics) by Peter K. Dunn, Gordon K. Smyth is a mathematics available to read on EtoBox.
What is Generalized Linear Models With Examples in R (Springer Texts in Statistics) about?
This textbook presents an introduction to generalized linear models, complete with real-world data sets and practice problems, making it applicable for both beginning and advanced students of applied statistics. Generalized linear models (GLMs) are powerful tools in applied statistics that extend the ideas of multiple linear regression and analysis of variance to include response variables that are not normally distributed. As such, GLMs can model a wide variety of data types including counts, p
Who reads Generalized Linear Models With Examples in R (Springer Texts in Statistics)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Peter K. Dunn, Gordon K. Smyth
- Publisher
- Springer New York Imprint,Springer
- Published
- 2018
- Language
- EN
- ISBN
- 9781441901187
- Category
- mathematics
- Subjects
- Computer Science, Mathematics, Stem
- Updated
- 2026-03-25
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