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Multivariate Density Estimation: Theory, Practice, and Visualization / Edition 1

Multivariate Density Estimation: Theory, Practice, and Visualization / Edition 1

by David W. Scott, Nina Allene Scott


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Product Details

ISBN-13: 9780471547709
Publisher: Wiley
Publication date: 08/31/1992
Series: Wiley Series in Probability and Statistics Series , #275
Pages: 336
Product dimensions: 6.34(w) x 9.41(h) x 0.82(d)

About the Author

David W. Scott, PhD, is Noah Harding Professor in the Department of Statistics at Rice University. The author of over 100 published articles, papers, and book chapters, Dr. Scott is also Fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics. He is recipient of the ASA Founder’s Award and the Army Wilks Award. His research interests include computational statistics, data visualization, and density estimation. Dr. Scott is also coeditor of Wiley Interdisciplinary Reviews: Computational Statistics and previous Editor of the Journal of Computational and Graphical Statistics.

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Table of Contents

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.



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