<p>Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods <p>Featuring a thoroughly revised presentation, Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition maintains an intuitive approach t
Multivariate density estimation: theory, practice, and visualization
β Scribed by David W. Scott
- Publisher
- Wiley
- Year
- 1992
- Tongue
- English
- Leaves
- 329
- Series
- Wiley Series in Probability and Statistics
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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 not only with univariate and bivariate data but also in the higher dimensions of trivariate and quadrivariate information. Major concepts are presented in the context of a histogram in order to simplify the treatment of advanced estimators. Features 12 four-color plates, numerous graphic illustrations as well as a multitude of problems and solutions.
π SIMILAR VOLUMES
An applied treatment of the key methods and state-of-the-art tools for visualizing and understanding statistical dataSmoothing of Multivariate Data provides an illustrative and hands-on approach to the multivariate aspects of density estimation, emphasizing the use of visualization tools. Rather tha
<span>An applied treatment of the key methods and state-of-the-art tools for visualizing and understanding statistical data </span><p><span>Smoothing of Multivariate Data provides an illustrative and hands-on approach to the multivariate aspects of density estimation, emphasizing the use of visualiz
βA welcome addition to multivariate analysis. The discussion is lucid and very leisurely, excellently illustrated with applications drawn from a wide variety of fields. A good part of the book can be understood without very specialized statistical knowledge. It is a most welcome contribution to an i
<p><span>βA welcome addition to multivariate analysis. The discussion is lucid and very leisurely, excellently illustrated with applications drawn from a wide variety of fields. A good part of the book can be understood without very specialized statistical knowledge. It is a most welcome contributio