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.
Singpurwalla,N. D. and Wilson,P. (2022). When Can Finite Testing Ensure Infinite Trustworthiness?. Journal of the Iranian Statistical Society, 3(1), 1-37.
MLA
Singpurwalla,N. D. , and Wilson,P. . "When Can Finite Testing Ensure Infinite Trustworthiness?", Journal of the Iranian Statistical Society, 3, 1, 2022, 1-37.
HARVARD
Singpurwalla N. D., Wilson P. (2022). 'When Can Finite Testing Ensure Infinite Trustworthiness?', Journal of the Iranian Statistical Society, 3(1), pp. 1-37.
CHICAGO
N. D. Singpurwalla and P. Wilson, "When Can Finite Testing Ensure Infinite Trustworthiness?," Journal of the Iranian Statistical Society, 3 1 (2022): 1-37,
VANCOUVER
Singpurwalla N. D., Wilson P. When Can Finite Testing Ensure Infinite Trustworthiness?. JIRSS, 2022; 3(1): 1-37.