Flexible Regression and Smoothing (Chapman & Hall/CRC The R Series)
I will be using this book for:

Flexible Regression and Smoothing (Chapman & Hall/CRC The R Series)

by Robert A. Rigby, Mikis D. Stasinopoulos, Gillian Z. Heller, Fernanda De Bastiani, Vlasios Voudouris

Programming Mathematics statistics Data Science
1 Star 2 Star 3 Star 4 Star 5 Star
0.0 out of 5 stars (0 ratings)

Flexible Regression and Smoothing offers a specialized reference on regression and smoothing methods within Chapman & Hall/CRC’s R Series. Written by five contributors, the book will interest readers studying statistics, data analysis, mathematical modeling, and the use of R for statistical work.

About This Book

Flexible Regression and Smoothing presents a focused treatment of regression and smoothing methods.

The book is part of Chapman & Hall/CRC’s R Series, connecting its subject with the R programming environment.

Written by Robert A. Rigby, Mikis D. Stasinopoulos, Gillian Z. Heller, Fernanda De Bastiani, and Vlasios Voudouris, it is intended for readers seeking a specialized reference in statistical modeling.

Reviews

No reviews yet. Be the first to review this book!


Write a Review
I will be using this book for: