Smoothing of Multivariate Data

Smoothing of Multivariate Data
Author :
Publisher : John Wiley & Sons
Total Pages : 641
Release :
ISBN-10 : 9780470425664
ISBN-13 : 0470425660
Rating : 4/5 (660 Downloads)

Book Synopsis Smoothing of Multivariate Data by : Jussi Sakari Klemelä

Download or read book Smoothing of Multivariate Data written by Jussi Sakari Klemelä and published by John Wiley & Sons. This book was released on 2009-09-04 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: An applied treatment of the key methods and state-of-the-art tools for visualizing and understanding statistical data Smoothing of Multivariate Data provides an illustrative and hands-on approach to the multivariate aspects of density estimation, emphasizing the use of visualization tools. Rather than outlining the theoretical concepts of classification and regression, this book focuses on the procedures for estimating a multivariate distribution via smoothing. The author first provides an introduction to various visualization tools that can be used to construct representations of multivariate functions, sets, data, and scales of multivariate density estimates. Next, readers are presented with an extensive review of the basic mathematical tools that are needed to asymptotically analyze the behavior of multivariate density estimators, with coverage of density classes, lower bounds, empirical processes, and manipulation of density estimates. The book concludes with an extensive toolbox of multivariate density estimators, including anisotropic kernel estimators, minimization estimators, multivariate adaptive histograms, and wavelet estimators. A completely interactive experience is encouraged, as all examples and figurescan be easily replicated using the R software package, and every chapter concludes with numerous exercises that allow readers to test their understanding of the presented techniques. The R software is freely available on the book's related Web site along with "Code" sections for each chapter that provide short instructions for working in the R environment. Combining mathematical analysis with practical implementations, Smoothing of Multivariate Data is an excellent book for courses in multivariate analysis, data analysis, and nonparametric statistics at the upper-undergraduate and graduatelevels. It also serves as a valuable reference for practitioners and researchers in the fields of statistics, computer science, economics, and engineering.


Smoothing of Multivariate Data Related Books

Smoothing of Multivariate Data
Language: en
Pages: 641
Authors: Jussi Sakari Klemelä
Categories: Mathematics
Type: BOOK - Published: 2009-09-04 - Publisher: John Wiley & Sons

GET EBOOK

An applied treatment of the key methods and state-of-the-art tools for visualizing and understanding statistical data Smoothing of Multivariate Data provides an
Multivariate Density Estimation
Language: en
Pages: 384
Authors: David W. Scott
Categories: Mathematics
Type: BOOK - Published: 2015-03-12 - Publisher: John Wiley & Sons

GET EBOOK

Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods Featuring a thoroughly revise
Multivariate Kernel Smoothing and Its Applications
Language: en
Pages: 249
Authors: José E. Chacón
Categories: Mathematics
Type: BOOK - Published: 2018-05-08 - Publisher: CRC Press

GET EBOOK

Kernel smoothing has greatly evolved since its inception to become an essential methodology in the data science tool kit for the 21st century. Its widespread ad
Multivariate Density Estimation
Language: en
Pages: 350
Authors: David W. Scott
Categories: Mathematics
Type: BOOK - Published: 2009-09-25 - Publisher: John Wiley & Sons

GET EBOOK

Written to convey an intuitive feel for both theory and practice, its main objective is to illustrate what a powerful tool density estimation can be when used n
Density Estimation for Statistics and Data Analysis
Language: en
Pages: 186
Authors: Bernard. W. Silverman
Categories: Mathematics
Type: BOOK - Published: 2018-02-19 - Publisher: Routledge

GET EBOOK

Although there has been a surge of interest in density estimation in recent years, much of the published research has been concerned with purely technical matte