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Applying generalized linear models / James K. Lindsey.

By: Lindsey, James K.
Material type: TextTextSeries: 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
Contents:
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: 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...
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Item type Current location Collection Call number Copy number Status Date due Barcode Item holds
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Non-fiction 519.53 LIA 1997 (Browse shelf) Not for loan
Text Text EWU Library
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Non-fiction 519.53 LIA 1997 (Browse shelf) C-1 Not For Loan 26625
Text Text EWU Library
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Non-fiction 519.53 LIA 1997 (Browse shelf) C-2 Available 26882
Text Text EWU Library
Circulation Section
Non-fiction 519.53 LIA 1997 (Browse shelf) C-3 Available 26883
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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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