
Accession Number : ADA186037
Title : Necessary and Sufficient Conditions for the Convergence of Integrated and MeanIntegrated rth Order Error of Histogram Density Estimates.
Descriptive Note : Technical rept.,
Corporate Author : PITTSBURGH UNIV PA CENTER FOR MULTIVARIATE ANALYSIS
Personal Author(s) : Chen, X R ; Zhoa, L C
PDF Url : ADA186037
Report Date : Apr 1987
Pagination or Media Count : 17
Abstract : Suppose that X sub 1,...,X sub n are iid. samples drawn from a ddimensional population with density function f. Let f(x) sub n = f sub n sub (x;X sub 1,....,X sub n) be an estimator of f(x). The Integrated Square Error (ISE) and Mean Integrated Square Error (MISE) of f sub n are important and widely used criteria in evaluating the performance of an estimator f sub n. Quite a lot of works appeared in the statistical literature dealing with the asymptotic properties of them, for various types of estimators, such as kernel estimator, orthogonal series estimator, nearest neighbor estimator etc. This paper the authors describe the necessary and sufficient conditions for the histogram estimator.
Descriptors : *HISTOGRAMS, *CONVERGENCE, *PROBABILITY DENSITY FUNCTIONS, DENSITY, ERRORS, ESTIMATES, KERNEL FUNCTIONS, MEAN, ORTHOGONALITY
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE