Statistical Computing with R, Second Edition - Couverture rigide

Rizzo, Maria L.

Couverture rigide

ISBN 10 : 1466553324 ISBN 13 : 9781466553323

Editeur : Routledge, 2019

A propos du livre

Biographie de l'auteur

Maria Rizzo is Professor in the Department of Mathematics and Statistics at Bowling Green State University in Bowling Green, Ohio where she teaches statistics, actuarial science, computational statistics, statistical programming and data science. Prior to joining the faculty at BGSU in 2006, she was Assistant Professor in the Department of Mathematics at Ohio University in Athens, Ohio. Her main research area is energy statistics and distance correlation. She has supervised six PhD students graduating through 2018, and currently works with two continuing doctoral students. She is the software developer and maintainer of the energy package for R. She also enjoys writing books including a forthcoming joint research monograph on energy statistics.

Présentation de l'éditeur

Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. This second edition continues to encompass the traditional core material of computational statistics, with an emphasis on using the R language via an examples-based approach. It includes R code for all examples and R notes to help explain the R programming concepts. This edition also features a new chapter on nonparametric regression and smoothing.

Détails de l'édition

• Éditeur: Routledge
• Date d'édition: 2019
• ISBN 10: 1466553324
• ISBN 13: 9781466553323
• Reliure: Relié
• Langue: anglais
• Numéro d'édition: 2
• Nombre de pages: 490