ISLR Fourth Printing
Springer Texts in Statistics
Series Editors:
G. Casella
S. Fienberg
I. Olkin
For further volumes: http://www.springer.com/series/417 Gareth James • Daniela Witten • Trevor Hastie
Robert Tibshirani
An Introduction to
Statistical Learning with Applications in R
123
Gareth James
Department of Information and
Operations Management
University of Southern California
Los Angeles, CA, USA
Daniela Witten
Department of Biostatistics
University of Washington
Seattle, WA, USA
Trevor Hastie
Department of Statistics
Stanford University
Stanford, CA, USA
Robert Tibshirani
Department of Statistics
Stanford University
Stanford, CA, USA
ISSN 1431-875X
ISBN 978-1-4614-7137-0
ISBN 978-1-4614-7138-7 (eBook)
DOI 10.1007/978-1-4614-7138-7
Springer New York Heidelberg Dordrecht London
Library of Congress Control Number: 2013936251
© Springer Science+Business Media New York 2013 (Corrected at 4 printing 2014)
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the
Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright
Clearance Center. Violations are liable to prosecution under the respective
Series Editors:
G. Casella
S. Fienberg
I. Olkin
For further volumes: http://www.springer.com/series/417 Gareth James • Daniela Witten • Trevor Hastie
Robert Tibshirani
An Introduction to
Statistical Learning with Applications in R
123
Gareth James
Department of Information and
Operations Management
University of Southern California
Los Angeles, CA, USA
Daniela Witten
Department of Biostatistics
University of Washington
Seattle, WA, USA
Trevor Hastie
Department of Statistics
Stanford University
Stanford, CA, USA
Robert Tibshirani
Department of Statistics
Stanford University
Stanford, CA, USA
ISSN 1431-875X
ISBN 978-1-4614-7137-0
ISBN 978-1-4614-7138-7 (eBook)
DOI 10.1007/978-1-4614-7138-7
Springer New York Heidelberg Dordrecht London
Library of Congress Control Number: 2013936251
© Springer Science+Business Media New York 2013 (Corrected at 4 printing 2014)
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the
Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright
Clearance Center. Violations are liable to prosecution under the respective