Confidence Intervals in Generalized Regression Models

Discover the intricate world of statistical analysis with Confidence Intervals in Generalized Regression Models by Esa Uusipaikka. Published by Taylor & Francis Ltd in 2008, this comprehensive hardback edition spans 322 pages and serves as an essential resource for anyone delving into the fields of mathematics and statistics.

This insightful book introduces a unified representation of the generalized regression model, encompassing a variety of regression types including general linear, nonlinear, generalized linear, logistic, Poisson, multinomial, and Cox regression models. It also features restricted versions of Mathematica, providing practical tools for applied analysis.

Whether you are a student, researcher, or practitioner, this book will enhance your understanding of confidence intervals and their applications in regression analysis. Elevate your statistical skills and deepen your knowledge with this indispensable guide.