The analysis and comparison of start-up demonstration tests

Michelle L. DePoy Smith, William S. Griffith

Research output: Contribution to journalArticlepeer-review

35 Scopus citations


Two new start-up demonstration tests are introduced as alternatives to a previously studied one. The first test is based on total successes and total failures (TSTF) while the second is based on consecutive successes and consecutive failures (CSCF). The probabilistic analysis of these tests in the independent and identically distributed case uses a Markov chain approach to avoid the complexities of the probability generating function approach. We discuss advantages of these new tests in certain situations. Practical guidance on choosing tests, estimation, and comparisons of the various criteria are studied. The Markov chain approach can be easily extended and generalized to study the probabilistic analysis of the non-i.i.d. case.

Original languageEnglish
Pages (from-to)1029-1045
Number of pages17
JournalEuropean Journal of Operational Research
Issue number3
StatePublished - May 1 2008


  • Inspection
  • Markov chain
  • Quality control
  • Reliability
  • Runs

ASJC Scopus subject areas

  • Computer Science (all)
  • Modeling and Simulation
  • Management Science and Operations Research
  • Information Systems and Management


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