2022
DOI: 10.1016/j.aej.2022.02.061
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Inference on adaptive progressive hybrid censored accelerated life test for Gompertz distribution and its evaluation for virus-containing micro droplets data

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Cited by 20 publications
(8 citation statements)
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“…PDF (11) and HRF (12) are plotted in Figure 2 for θ � 1.5, λ � 2.0, and diferent values of c and d. It can be noticed that PDF (11) is always unimodal, while HRF ( 12) is always increasing since β > 2.…”
Section: Assumptionsmentioning
confidence: 99%
See 1 more Smart Citation
“…PDF (11) and HRF (12) are plotted in Figure 2 for θ � 1.5, λ � 2.0, and diferent values of c and d. It can be noticed that PDF (11) is always unimodal, while HRF ( 12) is always increasing since β > 2.…”
Section: Assumptionsmentioning
confidence: 99%
“…Several techniques, including progressive stress, step stress, and constant stress, can be used to apply stress to ALTs. For further explanation on ALTs and PALTs, one can refer to [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%
“…Lone and Panahi (2022) investigated the Gompertz distribution using unified hybrid censored data, employing a stochastic expectation-maximization approach to estimate parameters and reduce computational complexity. Under a constant-stress, partially accelerated life test paradigm, Asadi et al (2022) delved into classical and Bayesian inferences of the Gompertz distribution.…”
Section: Introductionmentioning
confidence: 99%
“…Similar studies were considered by Ferreira and Silva [14] for Weibull distribution when right CS is available, Starling et al [23] for improving Weibull distribution using generalized type-I CS, Chiou and Chen [8] for lifetime performance index under type-II CS. Also, for accelerated life-time reliability model (ALTM), Wang et al [24] and Asadi et al [3] considered estimation methods under PrC and adaptive PrC respectively. Further, Lone and Panahi [18] studied the ALTM based on the Gompertz unified Hy censored data.…”
Section: Introductionmentioning
confidence: 99%