THE LEBESGUE-STIELJES INTEGRAL AS APPLIED IN PROBABILITY DISTRIBUTION THEORY

Abstract

Necessary definitions and theorems from real variable dealing with some properties of Lebesgue-Stieljes measures, monotone non-decreasing functions, Borel sets, functions of bounded variation and Borel measureable functions are set forth in the introduction. Chapter 2 is concerned with establishing a one to one correspondence between LebesgueStieljes measures and certain equivalence classes of functions which are monotone non decreasing and continuous on the right. In Chapter 3 the Lebesgue-Stieljes Integral is defined and some of its properties are demonstrated. In Chapter 4 probability distribution function is defined and the notions in Chapters 2 and 3 are used to show that the Lebesgue-Stieljes integral of any probability distribution function can be expressed as a countable sum of positive numbers added to the Lebesgue-Stieljes integral of a continuous probability distribution function. The conclusion indicates how the Lebesgue-Stieljes integral may be used to define the probability associated with a Borel set of real numbers.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1964
Accession Number
AD0614256

Entities

People

  • Thomas A. Van Sant

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Discontinuities
  • Distribution Functions
  • Distribution Theory
  • Integrals
  • Mathematics
  • Numbers
  • Probability
  • Probability Distribution Functions
  • Probability Distributions
  • Rational Numbers
  • Real Numbers
  • Real Variables
  • Sequences
  • Step Functions
  • Test Sets
  • Theorems
  • United States

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Naval Engineering and Maritime Security
  • Statistical inference.