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.
"synopsis" may belong to another edition of this title.
374 pages. Book is in Very good condition throughout. The only exception is a small inscription to the inside page and small mark to cover. 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.
"About this title" may belong to another edition of this title.
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Condition: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Torn pages: YES ] [ Edition: Series ] Publisher: Oxford University Press Pub Date: 3/16/1989 Binding: Paperback Pages: 392 Series edition. Seller Inventory # 6820829
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