Annette J. Dobson, Adrian G. Barnett

An Introduction to Generalized Linear Models (eBook, PDF)

• Format: PDF

Produktbeschreibung

An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods. This new edition of a bestseller has been updated with new sections on non-linear associations, strategies for model selection, and a Postface on good statistical practice.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 392
• Erscheinungstermin: 17. April 2018
• Englisch
• ISBN-13: 9781351726221
• Artikelnr.: 56838888

Autorenporträt

Annette J. Dobson is Professor of Biostatistics at the Univesity of Queensland.

Adrian G. Barnett is a professor at the Queensland University of Technology.

Inhaltsangabe

Introduction. Model Fitting. Exponential Family and Generalized. Linear
Models.Estimation. Inference. Normal Linear Models. Binary Variables and
Logistic Regression. Nominal and Ordinal Logistic Regression. Poisson
Regression and Log-Linear Models.Survival Analysis. Clustered and
Longitudinal Data. Bayesian Analysis. Markov Chain Monte Carlo Methods.
Example Bayesian Analyses. Postface. Appendix.