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Transformation and Weighting in Regression

Transformation and Weighting in Regression

David Ruppert / Raymond J. Carroll

120,54 €
IVA incluido
Disponible
Editorial:
Taylor & Francis Ltd
Año de edición:
2019
Materia
Probabilidad y estadística
ISBN:
9780367403379
120,54 €
IVA incluido
Disponible

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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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