Confidence Intervals in Generalized Regression Models

ISBN-13: 9780367387082 / Angielski / Miękka / 2019 / 328 str.

Esa Uusipaikka

Opis

This book 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. It also uses a likelihood-based approach for performing statistical inference from statistical evidence consisting of data and its statistical model. The book includes restricted versions of Mathematica^® and the author’s own Statistical Inference Package (SIP) on DVD. The author also supplies the SIP and R code for several likelihood-based inference examples online.

Spis treści

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.

O autorze

Uusipaikka, Esa