Free PDF Multivariate Dependencies: Models, Analysis and Interpretation (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)By D.R
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Multivariate Dependencies: Models, Analysis and Interpretation (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)By D.R
Free PDF Multivariate Dependencies: Models, Analysis and Interpretation (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)By D.R
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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.
- Sales Rank: #351539 in Books
- Published on: 1996-03-01
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x .63" w x 6.14" l, 1.06 pounds
- Binding: Hardcover
- 272 pages
Review
"The book is an important contribution to the statistical literature, not only because the subject is full of interest, but also because of the way that expert authors integrate research contribution The comments made in every section are particularly precise and useful. Special mention should be made of the bibliographic notes at the end of the chapter. -The Statistician
From the Back Cover
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. Multivariate Dependencies 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. Multivariate Dependencies is aimed at research workers using statistical methods as well as statisticians involved in empirical research.
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