From the very simple to the very complex, Confidence Intervals in GeneralizedRegression 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, theL1-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 conceptof residuals in general regression models and presents special cases.
- ISBN: 978-1-4200-6027-0
- Editorial: Chapman & Hall/CRC Statistics and Mathem
- Encuadernacion: Cartoné
- Páginas: 384
- Fecha Publicación: 01/07/2008
- Nº Volúmenes: 1
- Idioma: Inglés