Likelihood Inference for Life Test Data

Benjamin Reiser, Shaul Bar Lev

Research output: Contribution to journalArticlepeer-review


This paper reviews the basic ideas of likelihood inference and applies them to some reliability and life testing problems connected with the exponential distribution. Various censoring schemes are considered and the likelihood approach is shown to provide a unified framework for treating exact solutions to estimation, prediction, and population-comparison problems. These solutions are provided in a well defined but non-probabilistic form. The classical s-confidence procedures depend strongly on imaginary exact repetitions of the form of the experiment being analyzed. This is often unrealistic and impractical. The data on hand can be directly analyzed by examining the likelihood function.

Original languageEnglish
Pages (from-to)38-43
Number of pages6
JournalIEEE Transactions on Reliability
Issue number1
StatePublished - Apr 1979
Externally publishedYes


  • Censoring
  • Estimation
  • Exponential distribution
  • Likelihood inference
  • Prediction

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Electrical and Electronic Engineering


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