Multivariate Dependencies: Models, Analysis and Interpretation - Chapman & Hall / CRC Monographs on Statistics and Applied Probability - D.R. Cox - Libros - Taylor & Francis Ltd - 9780367401375 - 17 de octubre de 2019
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Multivariate Dependencies: Models, Analysis and Interpretation - Chapman & Hall / CRC Monographs on Statistics and Applied Probability 1.º edición

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Large observational studies involving research questions that require the measurement of several features on each individual arise in many fields including the social and medical sciences. This book sets out both the general concepts and the more technical statistical issues involved in analysis and interpretation. Numerous illustrative examples are described in outline and four studies are discussed in some detail.

The use of graphical representations of dependencies and independencies among the features under study is stressed, both to incorporate available knowledge at the planning stage of an analysis and to summarize aspects important for interpretation after detailed statistical analysis is complete. This book is aimed at research workers using statistical methods as well as statisticians involved in empirical research.


272 pages

Medios de comunicación Libros     Paperback Book   (Libro con tapa blanda y lomo encolado)
Publicado 17 de octubre de 2019
ISBN13 9780367401375
Editores Taylor & Francis Ltd
Páginas 272
Dimensiones 150 × 220 × 10 mm   ·   390 g
Lengua Inglés  
Editor de series Isham, Valerie
Editor de series Keiding, Niels (University of Copenhagen, Denmark)
Editor de series Louis, Thomas A. (Johns Hopkins Bloomberg School of Public Health, MD, USA Johns Hopkins Bloomberg School of Public Health, Baltimore, Johns Hopkins Bloomberg, Baltimore, Maryland, USA)
Editor de series Reid, N. (University of Toronto, Ontario, Canada)
Editor de series Tibshirani, R.J. (Stanford university Stanford University Stanford University, California, USA Stanford University, California, USA)
Editor de series Tong, Howell (London School of Economics, UK London School of Economics, UK)

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