The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics)

Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome

ISBN 10: 0387952845 / ISBN 13: 9780387952840

Published by Springer, 2003

About this Item

Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if youâ re not satisfied with purchase please return item for full refund. Ships USPS Media Mail. Seller Inventory # OTV.0387952845.VG

Bibliographic Details

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

Publisher: Springer

Publication Date: 2003

Binding: Hardcover

Condition: very_good

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.