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Citation - WoS: 4
Citation - Scopus: 6
Statistical Inference for a Class of Startup Demonstration Tests
(Taylor & Francis inc, 2019) Eryilmaz, Serkan
In 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.