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
From page :
1
To page :
37
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)
Record number :
2578456
Link To Document :
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