Skip to content

Multivariate Density Estimation Theory, Practice, and Visualization

Spend $50 to get a free DVD!

ISBN-10: 0471547700

ISBN-13: 9780471547709

Edition: 1st 1992

Authors: David W. Scott

List price: $178.00
Shipping box This item qualifies for FREE shipping.
Blue ribbon 30 day, 100% satisfaction guarantee!
what's this?
Rush Rewards U
Members Receive:
Carrot Coin icon
XP icon
You have reached 400 XP and carrot coins. That is the daily max!


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.
Customers also bought

Book details

List price: $178.00
Edition: 1st
Copyright year: 1992
Publisher: John Wiley & Sons, Incorporated
Publication date: 8/31/1992
Binding: Hardcover
Pages: 336
Size: 6.50" wide x 9.75" long x 1.00" tall
Weight: 1.584
Language: English

Richard M. Talman is Professor of Physics at Cornell University, Ithaca, New York. After receiving B.A and M.A. at the University of Western Ontario, he received his Ph.D. at the California Institute of Technology in 1963. Since then he has been at Cornell, accepting a full professorship for Physics in 1971. He has spent terms as visiting scientist at Stanford(2), CERN(2), Berkeley(2) and Saskatchewan, and served as leader of the Instrumentation and Diagnostics Group at the SSC project in Dallas. He has given courses on accelerators at Chicago, Austin, Rice, and Yale. Initially a particle physics experimentalist, Professor Talman has been engaged in the design of a series of accelerators,…    

Representation and Geometry of Multivariate Data
Nonparametric Estimation Criteria
Histograms: Theory and Practice
Frequency Polygons
Averaged Shifted Histograms
Kernel Density Estimators
The Curse of Dimensionality and Dimension Reduction
Nonparametric Regression and Additive Models
Other Application
Appendix A: Computer Graphics in [actual symbols not reproducible]
Appendix B: Data Sets
Appendix C: Notation
Author Index
Subject Index