Statistical Modelling in GLIM by Murray Aitkin
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.| SKU | Unavailable |
| ISBN 13 | 9780198522034 |
| ISBN 10 | 0198522037 |
| Title | Statistical Modelling in GLIM |
| Author | Murray Aitkin |
| Series | Oxford Statistical Science Ser |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Oxford University Press |
| Year published | 1989-01-01 |
| Number of pages | 392 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |