Estimating the Mean of a Correlated Binary Sequence with an Application to Discrete Event Simulation.

Abstract

This paper discusses a procedure for interval estimation of the mean theta of a correlated binary (0,1) sequence. The method assumes that the sequence is strictly stationary and that a particular string of m binary digits is a recurrent event in the sequence, where m>or = to 1 is unknown. Of the 2 m squared choices for the possible recurrent events, the strings of all zeros and of all ones are examined.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1977
Accession Number
ADA039195

Entities

People

  • George S. Fishman
  • Louis R. Moore

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Computations
  • Degradation
  • Error Analysis
  • Errors
  • Estimators
  • Frequency
  • Markov Chains
  • North Carolina
  • Probability
  • Random Variables
  • Security
  • Sequences
  • Simulations
  • Statistical Analysis
  • Statistical Inference
  • Stochastic Processes

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Approximation Theory.
  • Mathematical Modeling and Probability Theory.