Statistical Power Analysis in Reliability Demonstration Testing: The Probability of Test Success

Statistical power analyses are used in the design of experiments to determine required number specimens, and thus expenditure, a test. Commonly, when analyzing planning life tests technical products, only confidence level is taken into account for assessing uncertainty. However, due sampling error, interval estimation varies from test test; therefore, specimens needed yield successful reliability demonstration cannot be derived by this. In this paper, procedure presented that facilitates integration statistical analysis planning. The Probability Test Success introduced as metric order place context products. It contains information concerning probability capable demonstrating lifetime, reliability, confidence. turn, it enables assessment comparison various types, such success run, non-censored, censored tests. main results four calculation methods scenarios: general method which dealing with all possible scenarios, mimicking actual procedure, two analytic approaches failure-free failure-based make use central limit theorem asymptotic properties several statistics, therefore simplify effort involved compared their respective advantages disadvantages worked out; furthermore, scenarios each preferred illustrated. applicability developed using additionally illustrated case study.