Statistics and Computing

Local Regression and Likelihood

Authors: Loader, Clive

Free Preview

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-0-387-22732-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA
  • ISBN 978-0-387-98775-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.99
price for USA
  • ISBN 978-1-4757-7258-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Separation of signal from noise is the most fundamental problem in data analysis, and arises in many fields, for example, signal processing, econometrics, acturial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, and extensions to local likelihood and density estimation. Basic theoretical results and diagnostic tools such as cross validation are introduced along the way. Examples illustrate the implementation of the methods using the LOCFIT software.

Table of contents (13 chapters)

Table of contents (13 chapters)

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-0-387-22732-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA
  • ISBN 978-0-387-98775-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.99
price for USA
  • ISBN 978-1-4757-7258-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

Services for this book

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Local Regression and Likelihood
Authors
Series Title
Statistics and Computing
Copyright
1999
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-0-387-22732-0
DOI
10.1007/b98858
Hardcover ISBN
978-0-387-98775-0
Softcover ISBN
978-1-4757-7258-6
Series ISSN
1431-8784
Edition Number
1
Number of Pages
XIV, 290
Topics