Applying generalized linear models / James K. Lindsey.
By: Lindsey, James K
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Material type: 
TextSeries: Springer texts in statistics. Publisher: New York : Springer, c1997Description: xiii, 256 p. : ill. ; 24 cm.ISBN: 0387982183 (New York : hardcover : acidfree paper); 9780387982182.Subject(s): Linear models (Statistics)DDC classification: 519.53 Online resources: Publisher description | WorldCat details | Ebook Fulltext | Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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Includes bibliographical references abd index.
Table of contents Contents: Generalized Linear Modelling.- Discrete Data.- Fitting and Comparing Probability Distributions.- Growth Curves.- Time Series.- Survival Data.- Event Histories.- Spatial Data.- Normal Models.- Dynamic Models.
Summary:
Describes how generalised linear modelling procedures can be used in many different fields, without becoming entangled in problems of statistical inference. This book shows the unity of many of the Read more...
Applied Statistics
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