Statistical Modelling in GLIM

Aitkin, Murray; Anderson, Dorothy; Francis, Brian; Hinde, John

ISBN 10: 0198522037 / ISBN 13: 9780198522034

Verlag: Clarendon Press/Oxford University Press, Oxford, U.K., 1989

Beschreibung

Softcover. No. 4 in the Oxford Statistical Science Series. Edge-worn covers with numerous superficial scorings and scratches. Spine has several creases, and it worn and rubbed along edges and at ends. Leading corners are rather worn. Page block is a little faded and grubby. Binding is sound and pages are tight and clean throughout. Contents are clear. AF.

Bestandsnummer des Verkäufers 296928

Bibliografische Details

• Titel: Statistical Modelling in GLIM
• Verlag: Clarendon Press/Oxford University Press, Oxford, U.K.
• Erscheinungsjahr: 1989
• Sprache: Englisch
• ISBN-10: 0198522037
• ISBN-13: 9780198522034
• Einband: Paperback
• Zustand: Good
• Zustand des Schutzumschlags: No Dust Jacket
• Buchtyp: Used
• Verkäuferkataloge:
  • Research Methods/Statistics/Information Sys

Über diesen Titel

Inhaltsangabe

The analysis of data by statistical modelling is becoming increasingly important. This book presents both the theory of statistical modelling with generalized linear models and the application of the theory to practical problems using the widely available package GLIM. The authors have taken pains to integrate the theory with many practical examples which illustrate the value of interactive statistical modelling. Throughout the book theoretical issues of formulating and simplifying models are discussed, as are problems of validating the models by the detection of outliers and influential observations. The book arises from short courses given at the University of Lancaster's Centre for Applied Statistics, with an emphasis on practical programming in GLIM and numerous examples. A wide range of case studies is provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions. A feature of the book is a detailed discussion of survival analysis. Statisticians working in a wide range of fields, including biomedical and social sciences, will find this book an invaluable desktop companion to aid their statistical modelling. It will also provide a text for students meeting the ideas of statistical modelling for the first time.