2017
DOI: 10.1051/matecconf/201711209008
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Estimation of total time on test for large samples

Abstract: Abstract. The aim of the present paper is to identify total time on test (TTT) estimators which require only partial information on sampling units. This allows an important simplification of the testing or observation procedure. The approach is based on the division of the testing/observation period into intervals so that TTT estimators to be determined using only classes numerical attributes. Division is made based either on failure rank or on time. A case study based on real field empirical data is carried o… Show more

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Cited by 2 publications
(4 citation statements)
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“…The total time on test (TTT) statistic is defined as the sum of the operating times of all units, regardless of whether they are still in service (units without failure) or not (units that have failed) [9].…”
Section: The Total Time On Test Transform Analysismentioning
confidence: 99%
See 2 more Smart Citations
“…The total time on test (TTT) statistic is defined as the sum of the operating times of all units, regardless of whether they are still in service (units without failure) or not (units that have failed) [9].…”
Section: The Total Time On Test Transform Analysismentioning
confidence: 99%
“…On the basis of the TTT can be obtained the so-called TTT transform plot, which has the property that the slope of the graphical representation in any point is the inverse of the failure rate at that point [9]. Consequently, the shape of the TTT transform plot provides information about the failure rate.…”
Section: The Total Time On Test Transform Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, for distributions with decreasing generalized failure rate, Bieniek [12] and Bieniek and Szpak [13] derived optimal bounds for the mean of TTT. Spiroiu [47] also calculated the average time spent on the test, mean of TTT, for a large sample. All of these show the pivotal role of TTT transforms in data analysis.…”
Section: Introductionmentioning
confidence: 99%