Transformation and Weighting in Regression

Raymond J. Carroll, David Ruppert, David Ruppert (Cornell University , Ithaca, New York, USA) , N. Reid (University of Toronto, Ontario, Canada)

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English

Chapman & Hall/CRC
27 September 2019

Mathematics; Environmental science, engineering & technology

Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability

This monograph provides a careful review of the major statistical techniques used to analyze regression data with nonconstant variability and skewness. The authors have developed statistical techniques--such as formal fitting methods and less formal graphical techniques-- that can be applied to many problems across a range of disciplines, including pharmacokinetics, econometrics, biochemical assays, and fisheries research.

While the main focus of the book in on data transformation and weighting, it also draws upon ideas from diverse fields such as influence diagnostics, robustness, bootstrapping, nonparametric data smoothing, quasi-likelihood methods, errors-in-variables, and random coefficients. The authors discuss the computation of estimates and give numerous examples using real data. The book also includes an extensive treatment of estimating variance functions in regression.

By: Raymond J. Carroll, David Ruppert, David Ruppert (Cornell University , Ithaca, New York, USA)
Series edited by: N. Reid (University of Toronto Ontario Canada), Valerie Isham
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 453g
ISBN: 9780367403379
ISBN 10: 0367403374
Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Pages: 264
Publication Date: 27 September 2019
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Carroll, Raymond J.; Ruppert, David