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.
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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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Hardback. Condición: Fine. Estado de la sobrecubierta: Fine. Circa 1992. Fine condition in a fine dustwrapper. Theory, Practice, and Visualization. Ideal as an introductory textbook, indispensable professional reference for statisticians, biostatisticians, electrical engineers, econometricians, and other scientists involved in data analysis. Dark blue cloth with red band at lower edge, gilt titles. xii and 317 pages plus publisher list at rear. A very nice copy! Packaged with care and promptly dispatched! Nº de ref. del artículo: 813741
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