A goodness of fit test for mean time to failure function in age replacement. Issue 17 (22nd November 2021)

• Record Type: Journal Article
• Authors: Bhattacharyya, Dhrubasish; Ali Khan, Ruhul; Mitra, Murari
• Is Part Of: Journal of statistical computation and simulation. Volume 91:Issue 17(2021)
• Page Start: 3637
• Page End: 3652
• Publication Date: 2021-11-22
• Subjects: Life distribution -- MTTF function -- asymptotic normality -- Pitman asymptotic relative efficiency -- Monte Carlo simulation; 62G10 -- 62N05 -- 90B25; Mathematical statistics -- Data processing -- Periodicals; Digital computer simulation -- Periodicals; 519.5028505
• DOI: 10.1080/00949655.2021.1944141
• Languages: English
• ISSNs: 0094-9655

Abstract

Abstract : Mean time to failure (MTTF) function plays an important role in connection with age replacement policy. In this paper, a goodness of fit test is proposed for MTTF function utilizing a weighted integral as a measure of deviation. The test statistic is shown to be asymptotically normal and the consistency of the test is also established. The proposed test is compared with some parametric tests of exponentiality in the sense of Pitman Asymptotic Relative Efficiency (PARE). The performance of the test is assessed by means of a simulation study. Finally, the test is applied to a real-life data set for illustrative purposes and the results are shown to be in accordance with those obtained by applying the one-sample Kolmogorov-Smirnov test.