Some Strong and Weak Laws of Large Numbers in D(0,1).

Abstract

Strong laws of large numbers for a sequence x sub n of random functions in D(0,1) are derived using new pointwise conditions on the first absolute moments, which improve on known results. In particular, convex tightness is not implied by the hypotheses of the theorems. It is shown that convex tightness is is preserved when random functions are centered, and this result is applied to improve some known strong laws for weighted sums in D(0,1). A weak law of large numbers is proved using a new pointwise condition on the first moments and some weak laws for weighted sums are improved upon by weakening the hypotheses. A study is made of relationships among several conditions on X sub n which appear as hypotheses in laws of large numbers. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1980
Accession Number
ADA091086

Entities

People

  • Peter Zito Daffer
  • Robert Lee Taylor

Organizations

  • University of South Carolina

Tags

DTIC Thesaurus Topics

  • Air Force
  • Banach Space
  • Computer Science
  • Convergence
  • Convex Sets
  • Hypotheses
  • Mathematics
  • Numbers
  • Probability
  • Random Variables
  • Real Numbers
  • Sequences
  • South Carolina
  • Statistics
  • Theorems
  • Tightness
  • Topology

Fields of Study

  • Mathematics

Readers

  • Combustion Dynamics and Shock Wave Physics.
  • Linear Algebra
  • Theoretical Analysis.