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Statistical modelling with GLIM 4 / Murray Aitkin, Brian Francis, John Hinde.

By: Contributor(s): Material type: TextTextSeries: Oxford statistical science series ; 32.Publisher: New York : Oxford University Press, 2005Edition: Second editionDescription: xiv, 557 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0198524137
  • 9780198524137
Other title:
  • Statistical modelling with GLIM four
  • Statistical modelling with GLIM4
Uniform titles:
  • Statistical modelling with GLIM.
Subject(s): DDC classification:
  • 519.5 22
LOC classification:
  • QA279 .S725 2005
Contents:
1. Introduction GLIM4 -- 2. Statistical modelling and inference -- 3. Regression and analysis of variance -- 4. Binary response data -- 5. Multinomial and poisson response data -- 6. Survival data -- 7. Finite mixture models -- 8. Random effect models -- 9. Variance component models.
Summary: "This text examines the theory of statistical modelling with generalised linear models. It also looks at applications of the theory to practical problems, using the GLIM4 package"--Provided by publisher.Review: "This second edition of the successful multi-disciplinary text Statistical Modelling in GLIM 4 takes into account new developments in both statistical software and statistical modelling. Including three new chapters on mixture and random effects models, it provides a comprehensive treatment of the theory of statistical modelling with generalized linear models with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is also provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions." "This book is ideal for graduates and research students in applied statistics and a wide range of quantitative disciplines, including biology, medicine and the social sciences. Professional statisticians at all levels will also find it an invaluable desktop companion."--BOOK JACKET.
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Revised edition of: Statistical modelling with GLIM. 1989.

Includes bibliographical references (pages 538-549) and index.

1. Introduction GLIM4 -- 2. Statistical modelling and inference -- 3. Regression and analysis of variance -- 4. Binary response data -- 5. Multinomial and poisson response data -- 6. Survival data -- 7. Finite mixture models -- 8. Random effect models -- 9. Variance component models.

"This text examines the theory of statistical modelling with generalised linear models. It also looks at applications of the theory to practical problems, using the GLIM4 package"--Provided by publisher.

"This second edition of the successful multi-disciplinary text Statistical Modelling in GLIM 4 takes into account new developments in both statistical software and statistical modelling. Including three new chapters on mixture and random effects models, it provides a comprehensive treatment of the theory of statistical modelling with generalized linear models with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is also provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions." "This book is ideal for graduates and research students in applied statistics and a wide range of quantitative disciplines, including biology, medicine and the social sciences. Professional statisticians at all levels will also find it an invaluable desktop companion."--BOOK JACKET.

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