Liang Wang
Orcid: 0000-0002-2600-5112Affiliations:
- Yunnan Normal University, School of Mathematics, Kunming, China
- Xidian University, School of Mathematics and Statistics, Xi'an, China
- Northwestern Polytechnical University, Xi'an, China (PhD 2012)
According to our database1,
Liang Wang
authored at least 29 papers
between 2012 and 2024.
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Bibliography
2024
Inference for multicomponent stress-strength reliability based on unit generalized Rayleigh distribution.
Soft Comput., March, 2024
Estimation of Lindley constant-stress model via product of spacing with Type-II censored accelerated life data.
Commun. Stat. Simul. Comput., January, 2024
2023
Comparison of Estimation Methods for Reliability Function for Family of Inverse Exponentiated Distributions under New Loss Function.
Axioms, December, 2023
Inference for block progressive censored competing risks data from an inverted exponentiated exponential model.
Qual. Reliab. Eng. Int., November, 2023
Reliability estimation for bathtub-shaped distribution under block progressive censoring.
Math. Comput. Simul., November, 2023
Reliability inference for stress-strength model based on inverted exponential Rayleigh distribution under progressive Type-II censored data.
Commun. Stat. Simul. Comput., June, 2023
Inference for Partially Accelerated Life Test from a Bathtub-Shaped Lifetime Distribution with Progressive Censoring.
Axioms, May, 2023
Estimation of Matusita measure between generalized inverted exponential distributions under progressive first-failure censored data.
J. Comput. Appl. Math., 2023
2022
Inference for Kumaraswamy Distribution under Generalized Progressive Hybrid Censoring.
Symmetry, 2022
Qual. Reliab. Eng. Int., 2022
Analysis for constant-stress model on multicomponent system from generalized inverted exponential distribution with stress dependent parameters.
Math. Comput. Simul., 2022
Inference for constant-stress Weibull competing risks model under generalized progressive hybrid censoring.
Math. Comput. Simul., 2022
Analysis of dependent left-truncated and right-censored competing risks data with partially observed failure causes.
Math. Comput. Simul., 2022
Inference for dependent competing risks from bivariate Kumaraswamy distribution under generalized progressive hybrid censoring.
Commun. Stat. Simul. Comput., 2022
Inference for exponential competing risks data under generalized progressive hybrid censoring.
Commun. Stat. Simul. Comput., 2022
2021
Reliability analysis of Weibull multicomponent system with stress-dependent parameters from accelerated life data.
Qual. Reliab. Eng. Int., 2021
Inference for dependence competing risks with partially observed failure causes from bivariate Gompertz distribution under generalized progressive hybrid censoring.
Qual. Reliab. Eng. Int., 2021
Inference for two-parameter Rayleigh competing risks data under generalized progressive hybrid censoring.
Qual. Reliab. Eng. Int., 2021
2020
Inference for confidence sets of the generalized inverted exponential distribution under k-record values.
J. Comput. Appl. Math., 2020
Inference for Weibull competing risks model with partially observed failure causes under generalized progressive hybrid censoring.
J. Comput. Appl. Math., 2020
Reliability inference for a multicomponent stress-strength model based on Kumaraswamy distribution.
J. Comput. Appl. Math., 2020
2018
Inference for Weibull Competing Risks Data Under Generalized Progressive Hybrid Censoring.
IEEE Trans. Reliab., 2018
Inference of progressively censored competing risks data from Kumaraswamy distributions.
J. Comput. Appl. Math., 2018
Estimation of constant-stress accelerated life test for Weibull distribution with nonconstant shape parameter.
J. Comput. Appl. Math., 2018
Estimation of exponential population with nonconstant parameters under constant-stress model.
J. Comput. Appl. Math., 2018
2017
J. Comput. Appl. Math., 2017
2015
Optimal interval estimation for a family of lower truncated distribution under progressive censoring.
J. Comput. Appl. Math., 2015
2013
J. Comput. Appl. Math., 2013
2012
Reliability analysis based on progressively first-failure-censored samples for the proportional hazard rate model.
Math. Comput. Simul., 2012