Representation and geometry of multivariate data -- Nonparametric estimation criteria -- Histograms: Theory and practice -- Frequency poIygons -- Averaged shifted histograms -- Kernel density estimators -- The curse of dimensionaIity and dimension reduction -- Nonparametric regression and additive models -- Other applications
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.
