An Introduction to Generalised Linear Models. Texts in Statistical Science.

Dobson, Annette J.:

ISBN 10: 1584881658 / ISBN 13: 9781584881650

Published by Chapman & Hall/CRC, 2001

About this Item

225 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 355.

Seller Inventory # 2297869

Bibliographic Details

• Title: An Introduction to Generalised Linear Models. Texts in Statistical Science.
• Publisher: Chapman & Hall/CRC
• Publication Date: 2001
• Language: English
• ISBN 10: 1584881658
• ISBN 13: 9781584881650
• Binding: Broschiert
• Edition: 2nd Edition
• Condition: Gut
• Weight: 355 grams
• Seller catalogs:
  • 90 Varia

About this title

Synopsis

Generalized linear models provide a unified theoretical and conceptual framework for many of the most commonly used statistical methods. In the ten years since publication of the first edition of this bestselling text, great strides have been made in the development of new methods and in software for generalized linear models and other closely related models.

Thoroughly revised and updated, An Introduction to Generalized Linear Models, Second Edition continues to initiate intermediate students of statistics, and the many other disciplines that use statistics, in the practical use of these models and methods. The new edition incorporates many of the important developments of the last decade, including survival analysis, nominal and ordinal logistic regression, generalized estimating equations, and multi-level models. It also includes modern methods for checking model adequacy and examples from an even wider range of application.

Statistics can appear to the uninitiated as a collection of unrelated tools. An Introduction to Generalized Linear Models, Second Edition illustrates how these apparently disparate methods are examples or special cases of a conceptually simple structure based on the exponential family of distribution, maximum likelihood estimation, and the principles of statistical modelling.

About the Author

Dobson, Department of Statistics and Centre for Clinical Epidemiology and Biostatistics, University of Newcastle, Australia.