The Elements of Statistical Learning: Data Mining, Inference and Prediction

Hastie, Trevor

ISBN 10: 0387952845 / ISBN 13: 9780387952840

Published by Springer-Verlag, 2003

About this Item

This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1150grams, ISBN:9780387952840.

Seller Inventory # 5559651

Bibliographic Details

• Title: The Elements of Statistical Learning: Data Mining, Inference and Prediction
• Publisher: Springer-Verlag
• Publication Date: 2003
• Language: English
• ISBN 10: 0387952845
• ISBN 13: 9780387952840
• Binding: Hardcover
• Condition: Fair
• Seller catalogs:
  • Mathematics

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.