Raymond J. Carroll, David Ruppert

Transformation and Weighting in Regression (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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, from pharmacokinetics to fisheries research. The book focuses on data transformation and weighting, but 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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 264
• Erscheinungstermin: 19. Oktober 2017
• Englisch
• ISBN-13: 9781351407267
• Artikelnr.: 50001993

Autorenporträt

Carroll, Raymond J.; Ruppert, David

Inhaltsangabe

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.