2009
DOI: 10.1016/j.stamet.2009.07.003
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Transformation of the bathtub failure rate data in reliability for using Weibull-model analysis

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Cited by 16 publications
(11 citation statements)
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“…Both Beta distribution and Mudholkar's DTM model [10] can be classified into bathtub model on finite interval, and failure rate function of Beta distribution is given by Ghitany [11] showed that ℎ( ) is bathtub-shaped if < 1, and failure rate function of DTM through data transformation is…”
Section: The Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…Both Beta distribution and Mudholkar's DTM model [10] can be classified into bathtub model on finite interval, and failure rate function of Beta distribution is given by Ghitany [11] showed that ℎ( ) is bathtub-shaped if < 1, and failure rate function of DTM through data transformation is…”
Section: The Modelmentioning
confidence: 99%
“…(a) Mudholkar's DTM model [10], which is threeparameter model on finite interval is the submodel of FIRE when = ; (b) Jiang's FSM model [3], which is a three-parameter model on finite interval; (c) Almalki's NMW model [4] [12], whose submodels include Chen's model; it is a three-parameter model on infinite interval; (e) Wang's ABXII model [5], which is a six-parameter model on infinite interval; (f) Lemonte's ENH model [7], which is a new three-parameter family of exponential-type distributions on infinite interval.…”
Section: Example and Analysismentioning
confidence: 99%
“…[17][18][19][20][21] Lai et al 11 gives an overview of bathtub-shaped failure rate distributions. There are three typical trends of methods to establish a bathtub curve model: 22 looking for an appropriate model, modifying the traditional model by complementing it with additional parameters, and transforming the data to achieve compatibility with a well-understood and convenient traditional model. Many literatures analyze the turning point of the failure rate function, which helps to determine and plan appropriate burn-in, maintenance, and repair policies and strategies.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Figure 11 provides the plot of the non-parametric estimatorĤ(u) which clearly shows that the the plot is bathtub shaped. In the literature several authors suggested various distributions to fit the Aarset data(see Lai et al (2003), Bebbington et al (2008) and Mudholkar et al (2009)). But even though, those models give reasonable fit to the data with bathtub failure rate, no model had Ushaped density.…”
Section: Aarset Datamentioning
confidence: 99%