On testing whether burn-in is required under the long-run average cost

Faezeh Mohammadi, Muhyiddin Izadi and Chin-Diew Lai

Statistics & Probability Letters, 2016, vol. 110, issue C, 217-224

Abstract: In this paper, we consider the testing problem whether burn-in is required based on the long-run average cost for a population with bathtub-shaped failure rate function. We propose a test based on kernel density estimation. We then apply our proposed test to two real data sets in the context of reliability.

Keywords: Bathtub failure rate; Gamma kernel estimator; Optimal bandwidth; Optimal burn-in time (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1016/j.spl.2015.10.009

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