Transformation and Weighting in Regression
Published on 19. October 2017
264 pages
978-1-351-40727-4 (ISBN)
Description
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.
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.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
File size
8,80 MB
ISBN-13
978-1-351-40727-4 (9781351407274)
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Schweitzer Classification
Other editions
Additional editions
Raymond J. Carroll | David Ruppert
Transformation and Weighting in Regression
Book
09/2019
1st Edition
Chapman & Hall/CRC
€95.80
Shipment within 15-20 days
Raymond J. Carroll | David Ruppert
Transformation and Weighting in Regression
Book
08/1988
1st Edition
CRC Press
€222.84
Shipment within 10-20 days
Persons
Carroll, Raymond J.; Ruppert, David
Content
Introduction. Generalized Least Squares and the Analysis of Heteroscedasticity. Estimation and Inference for Variance Functions. The Transform-Both-Sides Methodology. Combining Transformations and Weighting. Influence and Robustness. Technical Complements. Some Open Problems. References. Index.
