Convergence of Weighted Sums of Random Elements in Type p Space.

Abstract

The study of probability density estimation led to estimates in the form of averages or weighted sums of random variables whose values are in function spaces (Parzen (1962) and Rosenblatt (1971)). As a application of the law of the iterated logarithm in linear measurable spaces, Kuelbs (1978) considered the rates of convergence in these density estimates. The estimates are not always averages of sequences of random elements in a Banach space but are more often weighted sums of arrays of random elements where the weights are not necessarily Toeplitz matrices. In this paper the convergence of weighted sums of arrays of random elements in Banach spaces of type p is obtained both in probability and almost surely. As corollaries these results have forms of Pruitt's (1963) and Rohatgi's (1971) results for Banach spaces and also have extensions for the results of Padgett and Taylor (1976). However, exact statements of the theorems are related to the possible applications for density estimation.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1979
Accession Number
ADA077438

Entities

People

  • Robert Lee Taylor

Organizations

  • University of South Carolina

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Air Force
  • Banach Space
  • Computer Science
  • Computers
  • Convergence
  • Distribution Functions
  • Inequalities
  • Integrals
  • Mathematics
  • New York
  • Probability
  • Random Variables
  • Scientific Research
  • Sequences
  • South Carolina
  • Statistics
  • Universities

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.
  • Statistical inference.

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  • Space