Title of article :
When Can Finite Testing Ensure Infinite Trustworthiness?
Author/Authors :
Singpurwalla, Nozer D. George Washington University, USA , Wilson, Philip George Washington University, USA
Abstract :
In this paper we contribute to the general philosophical question as to whether empirical testing can ever prove a physical law. Problems that lead to this question arise under several contexts, and the matter has been addressed by the likes of Bayes and Laplace. After pointing out that a Bayesian approach is the proper way to address this problem, we show that the answer depends on what we start with. Namely, under certain prior assumptions, a finite amount of testing can lead to the conclusion of total trustworthiness, though such priors could be unrealistic. However, we do produce a new class of priors under which a finite amount of testing can lead to a high degree of trustworthiness, at a relatively fast pace. We use the scenario of software testing as a way to motivate and discuss our development.
Keywords :
Bayes law , discrete priors , Jeffreys prior , reliability , sample size , software testing , stockpile stewardship
Journal title :
Journal of the Iranian Statistical Society (JIRSS)
Journal title :
Journal of the Iranian Statistical Society (JIRSS)