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Statistical Modelling in R

Series: Oxford Statistical Science Series Volume: 35

By: Murray Aitkin, Brian Francis, John Hinde and Ross Darnell

576 pages, diagrams

Oxford University Press

Paperback | Jan 2009 | #175054 | ISBN-13: 9780199219131
Availability: Usually dispatched within 5 days Details
NHBS Price: £48.49 $64/€54 approx
Hardback | Jan 2009 | #175053 | ISBN-13: 9780199219148
Availability: Usually dispatched within 2-3 weeks Details
NHBS Price: £102.50 $135/€115 approx

About this book

R is now the most widely used statistical package/language in university statistics departments and many research organizations. Its great advantages are that for many years, it has been the leading statistical package/language and that it can be freely downloaded from the R website. This text provides a comprehensive treatment of the theory of statistical modelling in R with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions, making this book ideal for graduates and research students in applied statistics and a wide range of qualitative disciplines.


PREFACE; 1. Introducing R; 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 effects models; 9. Variance component models; BIBLIOGRAPHY; R FUNCTION AND CONSTANT INDEX; DATASET INDEX; SUBJECT INDEX

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