Multidimensional Strong Large Deviation Theorems

Abstract

We obtain a strong large deviation result for arbitrary sequence of random vectors under simple and verifiable conditions on the moment generating functions. The key to this result is a local limit theorem for arbitrary sequences of random vectors which is also provided in this paper. The local limit theorem gives conditions on the characteristic functions of random vectors for their pseudo-density function to converge uniformly on bounded sets. We apply these results to the multivariate F-distribution. Large Deviations, Limit Theorems.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1992
Accession Number
ADA256939

Entities

People

  • Jayaram Sethuraman
  • Narasinga R. Chaganty

Organizations

  • Florida State University

Tags

DTIC Thesaurus Topics

  • Data Science
  • Distribution Functions
  • Information Science
  • Mathematics
  • Military Research
  • Multivariate Analysis
  • Numbers
  • Probability
  • Probability Density Functions
  • Random Variables
  • Real Numbers
  • Sequences
  • Statistics
  • Theorems
  • United States
  • United States Government
  • Universities

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.
  • Statistical inference.