Semiparametric Regression with R, 1st ed. 2018 Use R! Series
Auteurs : Harezlak Jaroslaw, Ruppert David, Wand Matt P.
Introduction.- Penalized Splines.- Generalized Additive Models.- Semiparametric Regression Analysis of Grouped Data.- Bivariate Function Extensions.- Selection of Additional Topics.-Index.
Matt Wand is Distinguished Professor of Statistics at University of Technology Sydney. He serves as an associate editor for the Statistics journal: Australian and New Zealand Journal of Statistics. Professor Wand is chiefly interested in the development of statistical methodolo
It is accompanied by the web-site: semiparametric-regression-with-r.net and contains pointers to datasets and R code relevant to this book
This book helps to close the gap between the available methodology and their use in practice
Because of its flexibility, semiparametric regression has proven to be of great value in many applications in fields as diverse as astronomy, biology, medicine, economics and finance
Ouvrage de 331 p.
15.5x23.5 cm
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