Applying generalized linear models / James K. Lindsey.

By: Lindsey, James K
Material type: TextTextLanguage: English Series: Springer texts in statisticsPublisher: New York : Springer, c1997Description: xiii, 256 p. : ill. ; 24 cmISBN: 0387982183 (New York : hardcover : acidfree paper); 9780387982182Subject(s): Linear models (Statistics)DDC classification: 519.53 LOC classification: QA279 | .L594 1997Online 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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Non-fiction 519.53 LIA 1997 (Browse shelf) Not for loan
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Non-fiction 519.53 LIA 1997 (Browse shelf) C-1 Not For Loan 26625
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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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