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Book Cover
Author Scott, David W., 1950-

Title Multivariate density estimation : theory, practice, and visualization / David W. Scott
Published New York : Wiley, [1992]


Location Call no. Vol. Availability
 W'PONDS  519.535 Sco/Mde  AVAILABLE
Description xii, 317 pages : illustrations (some color) ; 25 cm
Series Wiley series in probability and mathematical statistics
Wiley series in probability and mathematical statistics.
Contents Machine derived contents note: 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. -- Special Topics. -- Appendices. -- Indexes
Summary 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.
Analysis Multivariate analysis
Notes A Wiley-Interscience publication
Bibliography Includes bibliographical references and indexes
Subject Estimation theory.
Multivariate analysis.
LC no. 91043950
ISBN 9780470316849 (electronic bk.)
0471547700 (alk. paper)
9780471547709 (paperback)