Applying Generalized Linear Models

James K. Lindsey

ISBN 10: 1475771118 / ISBN 13: 9781475771114

Published by Springer New York Mrz 2013, 2013

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes how generalised linear modelling procedures can be used in many different fields, without becoming entangled in problems of statistical inference. The author shows the unity of many of the commonly used models and provides readers with a taste of many different areas, such as survival models, time series, and spatial analysis, and of their unity. As such, this book will appeal to applied statisticians and to scientists having a basic grounding in modern statistics. With many exercises at the end of each chapter, it will equally constitute an excellent text for teaching applied statistics students and non- statistics majors. The reader is assumed to have knowledge of basic statistical principles, whether from a Bayesian, frequentist, or direct likelihood point of view, being familiar at least with the analysis of the simpler normal linear models, regression and ANOVA. 276 pp. Englisch.

Seller Inventory # 9781475771114

Bibliographic Details

• Title: Applying Generalized Linear Models
• Publisher: Springer New York Mrz 2013
• Publication Date: 2013
• Language: English
• ISBN 10: 1475771118
• ISBN 13: 9781475771114
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 16D millimeters 235 millimeters width by 155 millimeters height by 16 millimeters depth
• Weight: 423 grams

About this title

Synopsis

Generalized linear models have applications in many areas, including social science and life science. This book will serve as a reference and advanced text for students interested in the applications of statistics.

Review

From a review:

TECHNOMETRICS

"...one of the best applied statistical books that I have ever read."