Kernel smoothing principles, methods and applications

Comprehensive theoretical overview of kernel smoothing methods with motivating examples Kernel smoothing is a flexible nonparametric curve estimation method that is applicable when parametric descriptions of the data are not sufficiently adequate. This book explores theory and methods of kernel smoo...

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Bibliographic Details
Other Authors: Ghosh, S. author (author)
Format: eBook
Language:Inglés
Published: Hoboken, New Jersey : Wiley 2018.
Edition:1st edition
Series:THEi Wiley ebooks.
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631596206719
Table of Contents:
  • Density estimation
  • Nonparametric regression
  • Trend estimation
  • Semiparametric regression
  • Surface estimation.