Overview

Authors:

Bo-Cheng Wei

Bo-Cheng Wei

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It is the FIRST book to deal with the subject on exponential family nonlinear models - a subject still very much in its infancy *
The differential geometric framework is presented for these models and the geometric methods are widely used in this book *
The author pays more attention to regression diagnostics and influence analysis, subjects which are being discussed for the first time * New models, new approaches and some new problems are introduced *
The book is ideally suited for researchers who work in statistical inference and for graduate students with a basic knowledge of statistics

Part of the book series: Lecture Notes in Statistics (LNS, volume 130)

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About this book

This book gives a comprehensive introduction to exponential family nonlinear models, which are the natural extension of generalized linear models and normal nonlinear regression models. The differential geometric framework is presented for these models and the geometric methods are widely used in this book. The author also pays more attention to regression diagnostics and influence analysis. The book is ideally suited for researchers who work in statistical inference and for graduate students with a basic knowledge of statistics.

Bibliographic Information

Book Title: Exponential Family Nonlinear Models
Authors: Bo-Cheng Wei
Series Title: Lecture Notes in Statistics
Publisher: Springer Singapore
eBook Packages: Springer Book Archive
Softcover ISBN: 978-981-3083-29-5Published: 01 September 1998
Series ISSN: 0930-0325
Series E-ISSN: 2197-7186
Edition Number: 1
Number of Pages: X, 230

Keywords

matrix theory

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Exponential Family Nonlinear Models