Strong Law for Mixing Sequence.

Abstract

This document presents some theorems on the strong law for the mixing sequence which is not necessarily stationary, and the mixing coefficient involving only a pair of variables in the sequence. Keywords: Large numbers, Random variables, Autoregression models.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1987
Accession Number
ADA193615

Entities

People

  • Xiru Chen
  • Yuehua Wu

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Coefficients
  • Contracts
  • Governments
  • Intellectual Property
  • Law
  • Mathematics
  • Multivariate Analysis
  • National Governments
  • Random Variables
  • Scientific Research
  • Sequences
  • Stationary
  • United States Government
  • Universities

Fields of Study

  • Education
  • Mathematics

Readers

  • Statistical inference.