The elements of statistical learning. Data mining, inference, and prediction.

Hastie, Trevor J.:

ISBN 10: 0387952845 / ISBN 13: 9780387952840

Published by New York, Springer, 2009

About this Item

XVI, 533 p. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. C-05394 9780387952840 Sprache: Englisch Gewicht in Gramm: 1150. Seller Inventory # 2491647

Bibliographic Details

Title: The elements of statistical learning. Data ...

Publisher: New York, Springer

Publication Date: 2009

Binding: Hardcover

Edition: 2nd. ed.

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.