Nonlinear Extensions of a Limit Theorem,

Abstract

A sequence of random variables (xn) is given together with centering and normalizing constants (an) and (bn), and it is assumed that the distribution of (xn-an)/bn coverges weakly (as n approaches infinity) to distribution F. The purpose of the present paper is to extend this convergence property to the sequence (V(xn)) where V is a given linear function. Specifically it is desired to find centering and normalizing constants (alpha n) and (beta n) such that the distribution of (V(xn)-alpha n)/beta n converges weakly to a limit G and to evaluate this limit. Sufficient conditions are presented that ensure the existence of the limit G, and it is shown that G is simply related to F. To illustrate the variety of limit laws that can arise, several examples are considered. (Author)

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1971
Accession Number
AD0721453

Entities

People

  • Robert Lugannani

Organizations

  • Princeton University

Tags

DTIC Thesaurus Topics

  • Convergence
  • Random Variables
  • Sequences

Fields of Study

  • Mathematics

Readers

  • Analytical Mechanics
  • Mathematical Modeling and Probability Theory.