Eryilmaz, SerkanIndustrial Engineering2024-07-052024-07-0520190022-40652575-623010.1080/00224065.2019.15713342-s2.0-85068105524https://doi.org/10.1080/00224065.2019.1571334https://hdl.handle.net/20.500.14411/3027Eryilmaz, Serkan/0000-0002-2108-1781In this article, we develop a general statistical inference procedure for the probability of successful startup p in the case of startup demonstration tests when only the number of trials until termination of the experiment are observed. In particular, we define a class of startup demonstration tests and present expectation-maximization (EM) algorithm to get the maximum likelihood estimate of p for this class. Most of well-known startup testing procedures are involved in this class. Extension of the results to Markovian startups is also presented.eninfo:eu-repo/semantics/closedAccessEM algorithmMarkov chainmaximum likelihood estimationphase-type distributionsreliabilityArticleQ1513314324WOS:0004656899000012