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
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Seller Inventory # 2022-10-7 lamir06
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.
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Bibliographic Details
Title: The Elements of Statistical Learning: Data ...
Publisher: Springer
Publication Date: 2003
Binding: Hardcover
Condition: New
Edition: 1st Edition
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics)
Published by
Springer, New York
ISBN 10: 0387952845
ISBN 13: 9780387952840
Used
Hardcover
First Edition
Seller: Alien Bindings, BALTIMORE, MD, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Poor. No Jacket. First Edition. Hardcover edition in Poor condition. 5th printing. The bottom center of the covers are show heavy wear exposing the boards. Corners are bumped. Spine ends crushed. The binding is in good shape but the book is slightly rolled backwards. Small abrasion to the front flyleaf. The interior pages are heavily creased at the front edge. Feel free to contact me for pictures. The book will be carefully packaged for shipment for protection from the elements. USPS electronic tracking number issued free of charge. Seller Inventory # 15217
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