Applying generalized linear models / James K. Lindsey.
By: Lindsey, James K
Material type: 
TextLanguage: 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 | Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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EWU Library E-book | Non-fiction | 519.53 LIA 1997 (Browse shelf) | Not for loan | ||||
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EWU Library Circulation Section | Non-fiction | 519.53 LIA 1997 (Browse shelf) | C-3 | Available | 26883 |
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| 519.52 LOS 2010 Sampling : | 519.52 THS 2012 Sampling / | 519.53 COP 2013 Practical nonparametric statistics / | 519.53 LIA 1997 Applying generalized linear models / | 519.53 MOM 2006 Models for discrete longitudinal data / | 519.53 THE 2013 Essentials of Monte Carlo simulation : | 519.535 AGC 2013 Categorical data analysis / |
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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