The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics) Hastie, Trevor; Tibshirani, Robert and Friedman, Jerome

Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome

ISBN 10: 0387952845 / ISBN 13: 9780387952840

Published by Springer, 2003

About this Item

Seller Inventory # 507-2-1-21

Bibliographic Details

Title: The Elements of Statistical Learning: Data ...

Publisher: Springer

Publication Date: 2003

Binding: Hardcover

Condition: gebraucht; wie neu

About this title

Synopsis:

2003 edition

About the Author:

Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.