Statistical modelling in GLIM4
Seiten
2005
|
2nd Revised edition
Oxford University Press (Verlag)
978-0-19-852413-7 (ISBN)
Oxford University Press (Verlag)
978-0-19-852413-7 (ISBN)
Ideal for graduates and research students in applied statistics and a wide range of quantitative disciplines, this text gives a comprehensive treatment of the theory of statistical modelling with generalised linear models with an emphasis on applications of the theory to practical problems, using the widely available package GLIM4.
This new edition of the successful multi-disciplinary text Statistical Modelling in GLIM 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 generalised 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.
This new edition of the successful multi-disciplinary text Statistical Modelling in GLIM 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 generalised 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.
Preface ; 1. Introducing 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 ; References ; Index
| Erscheint lt. Verlag | 24.3.2005 |
|---|---|
| Reihe/Serie | Oxford Statistical Science Series ; 32 |
| Zusatzinfo | numerous line figures |
| Verlagsort | Oxford |
| Sprache | englisch |
| Maße | 164 x 241 mm |
| Gewicht | 985 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra |
| Mathematik / Informatik ► Mathematik ► Statistik | |
| ISBN-10 | 0-19-852413-7 / 0198524137 |
| ISBN-13 | 978-0-19-852413-7 / 9780198524137 |
| Zustand | Neuware |
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