Confidence Intervals in Generalized Regression Models

Informationen zum Autor Uusipaikka! Esa Klappentext From the very simple to the very complex! Confidence Intervals in Generalized Regression Models provides a unified introduction to a wide range of regression models! including the general linear model (GLM)! the nonlinear regression model! the multivariate linear regression model (MANOVA)! the logistic regression model! the Poisson regression model! the multinomial regression model! the L1-regression model! and the Cox regression model. The book explains the use of statistical inference packages to analyze data and includes code for performing likelihood inference using SIP! R! and SAS. It also addresses the concept of residuals in general regression models and presents special cases. Zusammenfassung Introduces a unified representation - the generalized regression model - of various types of regression models, including the general linear, nonlinear regression, generalized linear, logistic regression, Poisson regression, multinomial regression, and Cox regression models. This book includes restricted versions of Mathematica[registered]. Inhaltsverzeichnis Introduction. Likelihood-Based Statistical Inference. Generalized Regression Model.General Linear Model.Nonlinear Regression Model. Generalized Linear Model.Binomial and Logistic Regression Models.Poisson Regression Model.Multinomial Regression.Other Generalized Linear Regressions Models.Other Generalized Regression Models. Appendices.

Product details

• Authors: Esa Uusipaikka, Esa (University of Turku Uusipaikka, Uusipaikka Esa
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 25.07.2008
• EAN: 9781420060270
• ISBN: 978-1-4200-6027-0
• No. of pages: 322
• Dimensions: 165 mm x 248 mm x 19 mm
• Series: Statistics: A Series of Textbooks and Monographs; Statistics: A Series of Textbooks and Monographs
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; MATHEMATICS / Probability & Statistics / General, Probability & statistics, Probability and statistics