CONSISTENCY OF MAXIMUM LIKELIHOOD ESTIMATORS IN SOME RELIABILITY GROWTH MODELS.

Abstract

Properties of maximum likelihood estimators of parameters in some sample reliability growth models are investigated. In one model the underlying process is a Markov chain and the estimator of the single unknown parameter is proved consistent. In another model it is shown that no estimators can be consistent. Related estimation problems in sequences of geometric distributions are discussed. (Author)

Document Details

Document Type
Technical Report
Publication Date
May 01, 1966
Accession Number
AD0641146

Entities

People

  • Bernard Sherman

Organizations

  • Rocketdyne

Tags

DTIC Thesaurus Topics

  • Consistency
  • Estimators
  • Markov Chains
  • Mathematics
  • Reliability
  • Sequences

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Regression Analysis.