Liang Wang

40 papers Journal 40
YearRankTypeTitle / Venue / Authors
2026 J jnl
Analysis of overlapping measure with adaptive Type-II progressively censored data from a bounded distribution.
J. Comput. Appl. Math.
Liang Wang, Zoran Vidovic, Yogesh Mani Tripathi, Jia Liu
2026 J jnl
Reliability Analysis Based on Evidential Likelihood for Uncertain Mixed Weibull Distribution.
IEEE Trans. Reliab.
Kuang Zhou, Zixin Zhang, Haomin Xu, Liang Wang, Yimin Shi
2025 J jnl
Analysis for left-truncated and right-censored competing risks data from marshall-olkin bivariate generalized lifetime family.
Comput. Stat.
Prakash Chandra, Arvind Kumar Alok, Yogesh Mani Tripathi, Liang Wang
2025 J jnl
Analysis of dependent complementary competing risks data from a generalized inverted family of lifetime distributions under a maximum ranked set sampling procedure with unequal samples.
J. Comput. Appl. Math.
Liang Wang, Chunfang Zhang, Yogesh Mani Tripathi, Yuhlong Lio
2025 J jnl
Inference for Dependent Competing Risks with Partially Observed Causes from Bivariate Inverted Exponentiated Pareto Distribution Under Generalized Progressive Hybrid Censoring.
Axioms
Rani Kumari, Yogesh Mani Tripathi, Rajesh Kumar Sinha, Liang Wang
2025 J jnl
Inference for Maximum Ranked Set Sampling with Unequal Samples from the Burr Type-III Model with Cycle Effects.
Axioms
Zirui Chu, Liang Wang, Yogesh Mani Tripathi, Yuhlong Lio
2025 J jnl
Objective Posterior Analysis of kth Record Statistics in Gompertz Model.
Axioms
Zoran Vidovic, Liang Wang
2024 J jnl
Estimation of Lindley constant-stress model via product of spacing with Type-II censored accelerated life data.
Commun. Stat. Simul. Comput.
Mazen Nassar, Sanku Dey, Liang Wang, Ahmed Elshahhat
2024 J jnl
Inference for dependent complementary competing risks model from an inverted Kumaraswamy distribution under ranked set sampling.
Qual. Reliab. Eng. Int.
Liang Wang, Yuhlong Lio, Yogesh Mani Tripathi, Sanku Dey
2024 J jnl
Inference for multicomponent stress-strength reliability based on unit generalized Rayleigh distribution.
Soft Comput.
Mayank Kumar Jha, Kundan Singh, Sanku Dey, Liang Wang, Yogesh Mani Tripathi
2024 J jnl
Inference of $S^{\prime }_{pmk}$ based on bias-corrected methods of estimation for generalized exponential distribution.
Int. J. Syst. Assur. Eng. Manag.
Sanku Dey, Liang Wang, Mahendra Saha
2024 J jnl
Inference of Constant-Stress Model of Fréchet Distribution under a Maximum Ranked Set Sampling with Unequal Samples.
Axioms
Jia Liu, Liang Wang, Yogesh Mani Tripathi, Yuhlong Lio
2023 J jnl
Comparison of Estimation Methods for Reliability Function for Family of Inverse Exponentiated Distributions under New Loss Function.
Axioms
Rani Kumari, Yogesh Mani Tripathi, Rajesh Kumar Sinha, Liang Wang
2023 J jnl
Estimation of Matusita measure between generalized inverted exponential distributions under progressive first-failure censored data.
J. Comput. Appl. Math.
Huizhong Lin, Liang Wang, Yuhlong Lio, Sanku Dey
2023 J jnl
Inference for Partially Accelerated Life Test from a Bathtub-Shaped Lifetime Distribution with Progressive Censoring.
Axioms
Yingzi Niu, Liang Wang, Yogesh Mani Tripathi, Jia Liu
2023 J jnl
Inference for block progressive censored competing risks data from an inverted exponentiated exponential model.
Qual. Reliab. Eng. Int.
Liang Wang, Shuo-Jye Wu, Huizhong Lin, Yogesh Mani Tripathi
2023 J jnl
Reliability estimation for bathtub-shaped distribution under block progressive censoring.
Math. Comput. Simul.
Rani Kumari, Yogesh Mani Tripathi, Rajesh Kumar Sinha, Liang Wang
2023 J jnl
Reliability inference for stress-strength model based on inverted exponential Rayleigh distribution under progressive Type-II censored data.
Commun. Stat. Simul. Comput.
Jin'ge Ma, Liang Wang, Yogesh Mani Tripathi, Manoj Kumar Rastogi
2022 J jnl
Analysis for constant-stress model on multicomponent system from generalized inverted exponential distribution with stress dependent parameters.
Math. Comput. Simul.
Liang Wang, Shuo-Jye Wu, Chunfang Zhang, Sanku Dey, Yogesh Mani Tripathi
2022 J jnl
Analysis of dependent left-truncated and right-censored competing risks data with partially observed failure causes.
Math. Comput. Simul.
Liang Wang, Yogesh Mani Tripathi, Sanku Dey, Chunfang Zhang, Ke Wu
2022 J jnl
Inference for Kumaraswamy Distribution under Generalized Progressive Hybrid Censoring.
Symmetry
Liang Wang, Ying Zhou, Yuhlong Lio, Yogesh Mani Tripathi
2022 J jnl
Inference for constant-stress Weibull competing risks model under generalized progressive hybrid censoring.
Math. Comput. Simul.
Liang Wang, Yogesh Mani Tripathi, Chandrakant Lodhi, Xuanjia Zuo
2022 J jnl
Inference for dependent competing risks from bivariate Kumaraswamy distribution under generalized progressive hybrid censoring.
Commun. Stat. Simul. Comput.
Liang Wang, Mengyang Li, Yogesh Mani Tripathi
2022 J jnl
Inference for exponential competing risks data under generalized progressive hybrid censoring.
Commun. Stat. Simul. Comput.
Liang Wang, Huanyu Li
2022 J jnl
Modified estimation and confidence intervals of an asymmetric loss-based process capability index C p m ′ $\mathcal {C}^{\prime }_{pm}$.
Qual. Reliab. Eng. Int.
Sanku Dey, Liang Wang, Mahendra Saha
2022 J jnl
Parametric inference of the loss based index C p m for normal distribution.
Qual. Reliab. Eng. Int.
Mahendra Saha, Sanku Dey, Liang Wang
2021 J jnl
Inference for dependence competing risks with partially observed failure causes from bivariate Gompertz distribution under generalized progressive hybrid censoring.
Qual. Reliab. Eng. Int.
Liang Wang, Yogesh Mani Tripathi, Sanku Dey, Yimin Shi
2021 J jnl
Inference for two-parameter Rayleigh competing risks data under generalized progressive hybrid censoring.
Qual. Reliab. Eng. Int.
Devendra Pratap Singh, Chandrakant Lodhi, Yogesh Mani Tripathi, Liang Wang
2021 J jnl
Reliability analysis of Weibull multicomponent system with stress-dependent parameters from accelerated life data.
Qual. Reliab. Eng. Int.
Liang Wang, Chunfang Zhang, Yogesh Mani Tripathi, Sanku Dey, Shuo-Jye Wu
2020 J jnl
Inference for Weibull competing risks model with partially observed failure causes under generalized progressive hybrid censoring.
J. Comput. Appl. Math.
Liang Wang, Yogesh Mani Tripathi, Chandrakant Lodhi
2020 J jnl
Inference for confidence sets of the generalized inverted exponential distribution under k-record values.
J. Comput. Appl. Math.
Liang Wang, Yogesh Mani Tripathi, Shuo-Jye Wu, Meng Zhang
2020 J jnl
Reliability inference for a multicomponent stress-strength model based on Kumaraswamy distribution.
J. Comput. Appl. Math.
Liang Wang, Sanku Dey, Yogesh Mani Tripathi, Shuo-Jye Wu
2018 J jnl
Estimation of constant-stress accelerated life test for Weibull distribution with nonconstant shape parameter.
J. Comput. Appl. Math.
Liang Wang
2018 J jnl
Estimation of exponential population with nonconstant parameters under constant-stress model.
J. Comput. Appl. Math.
Liang Wang
2018 J jnl
Inference for Weibull Competing Risks Data Under Generalized Progressive Hybrid Censoring.
IEEE Trans. Reliab.
Liang Wang
2018 J jnl
Inference of progressively censored competing risks data from Kumaraswamy distributions.
J. Comput. Appl. Math.
Liang Wang
2017 J jnl
Inference for the Kumaraswamy distribution under k-record values.
J. Comput. Appl. Math.
Liang Wang
2015 J jnl
Optimal interval estimation for a family of lower truncated distribution under progressive censoring.
J. Comput. Appl. Math.
Liang Wang
2013 J jnl
Reliability analysis of a class of exponential distribution under record values.
J. Comput. Appl. Math.
Liang Wang, Yimin Shi
2012 J jnl
Reliability analysis based on progressively first-failure-censored samples for the proportional hazard rate model.
Math. Comput. Simul.
Liang Wang, Yimin Shi