BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Modelling Frequency and Count Data (Oxford Statistical Science Series)

Modelling Frequency and Count Data (Oxford Statistical Science Series)

Modelling Frequency and Count Data (Oxford Statistical Science Series)
Stock photo: cover may vary

Modelling Frequency and Count Data (Oxford Statistical Science Series) Hardback - 1995

by Lindsey, J. K

Add to wish list
  • Used
Used - Good

Description

Clarendon Press. Used - Good. Ships from UK in 48 hours or less (usually same day). Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. 100% money back guarantee. We are a world class secondhand bookstore based in Hertfordshire, United Kingdom and specialize in high quality textbooks across an enormous variety of subjects. We aim to provide a vast range of textbooks, rare and collectible books at a great price. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. We provide a 100% money back guarantee and are dedicated to providing our customers with the highest standards of service in the bookselling industry.
Ask the seller a question Add to wish list
A$6.29
A$17.32 Delivery to USA
Standard delivery: 14 to 21 days
More delivery options
Ships from Phatpocket Limited (Essex, United Kingdom)

Details

  • Title Modelling Frequency and Count Data (Oxford Statistical Science Series)
  • Author Lindsey, J. K
  • Binding Hardback
  • Edition New Edition
  • Condition Used - Good
  • Pages 300
  • Volumes 1
  • Language ENG
  • Publisher Clarendon Press, Oxford
  • Publication date 1995-06-15
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # Z1-I-004-01755
  • ISBN 9780198523314 / 0198523319
  • Weight 1.31 lbs (0.59 kg)
  • Dimensions 9.28 x 6.32 x 0.98 in (23.57 x 16.05 x 2.49 cm)
  • Category Mathematics
  • Library of Congress subjects Multivariate analysis
  • Library of Congress Catalogue Number 94046457
  • Dewey Decimal Code 519.536

About Phatpocket Limited Essex, United Kingdom

Biblio member since 2006

Phatpocket Limited is a world class secondhand bookstore located in the Hertfordshire countryside in the United Kingdom. We specialize in textbooks across an enormous variety of subjects. We aim to provide a low cost source of high quality textbooks to the academic community. We also have a sizable collection of rare and collectible books.

We are dedicated to providing our customers with the highest standard of customer service in the bookselling business.

Terms of Sale:

Books are usually shipped in 48 hours or less. All of our books have a 14 day no hassle money back guarantee unless stated otherwise in the book's description. Item must be returned in the exact same condition that it was received. Through our work with The Rainbow Centre and other Charity Partners, we have already given hundreds of young people in Sri Lanka and Africa the vital chance to get an education.

Browse books from Phatpocket Limited

Reader reviews for Modelling Frequency and Count Data (Oxford Statistical Science Series)

From the publisher

Categorical data analysis is a special area of generalized linear models, which has become the most important area of statistical applications in many disciplines, from medicine to social sciences. This text presents the standard models and many newly developed ones in a language that can be immediately applied in many modern statistical packages such as GLIM, GENSTAT, S-Plus, as well as SAS and LISP-STAT. The book is structure around the distinction between independent events occurring to different individuals, resulting in frequencies, and repeated events occurring to the same individuals, yielding counts. The book demonstrates that much of modern statistics can be seen as special cases of categorical data models; both generalized linear models and proportional hazards models can be fitted as log linear models. More specialized topics such as Markov chains, overdispersion and random effects, are also covered.
tracking-