A Probabilistic Proof of the Normal Convergence Criterion.

Abstract

By embedding partial sum processes into Brownian motion, it is well known that the deMoivre-Laplace central limit theorem is a consequence of the strong law of large numbers. It is the purpose here to show that the embedding technique can be used to establish both the degenerate convergence criterion and the normal convergence criterion for triangular arrays of uniformly asymptotically negligible random variables. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1972
Accession Number
AD0750723

Entities

People

  • David E Root
  • H. Rubin

Organizations

  • Purdue University

Tags

DTIC Thesaurus Topics

  • Brownian Motion
  • Convergence
  • Embedding
  • Random Variables

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.