
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 includi ...
DETAILS
Generalized Linear Models With Examples in R
Dunn, Peter K., Smyth, Gordon K.
Gebunden, xx, 562 S.
XX, 562 p. 115 illus.
Sprache: Englisch
235 mm
ISBN-13: 978-1-4419-0117-0
Titelnr.: 75090475
Gewicht: 1033 g
Springer, Berlin (2018)
Herstelleradresse
Springer Heidelberg
Tiergartenstr. 17
69121 - DE Heidelberg
E-Mail: buchhandel-buch@springer.com