Citations (18)
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Ming Han. (2023) Take a look at the hierarchical Bayesian estimation of parameters from several different angles. Communications in Statistics - Theory and Methods 52:21, pages 7718-7730.
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Ming Han. (2023) E-Bayesian estimation and E-posterior risk of failure probability under different loss functions and its applications in reliability analysis. Journal of Statistical Computation and Simulation 93:12, pages 1879-1898.
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Azeem Iqbal & Muhammad Yousuf Shad. (2023) On E-Bayesian analysis of the hierarchical normal and inverse gamma model using different loss functions and its application. Journal of Statistical Computation and Simulation 93:11, pages 1743-1771.
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Anurag Pathak, Manoj Kumar, Sanjay Kumar Singh, Umesh Singh, Manoj Kumar Tiwari & Sandeep Kumar. (2023) E-Bayesian inference for xgamma distribution under progressive type II censoring with binomial removals and their applications. International Journal of Modelling and Simulation 0:0, pages 1-20.
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Ming Han. (2022) Study on the effect of the different prior distributions on E-Bayesian estimation of failure probability and its E-posterior risk. Communications in Statistics - Simulation and Computation 51:11, pages 6441-6455.
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Anurag Pathak, Manoj Kumar, Sanjay Kumar Singh & Umesh Singh. (2022) Assessing the effect of E-Bayesian inference for Poisson inverse exponential distribution parameters under different loss functions and its application. Communications in Statistics - Theory and Methods 51:17, pages 5763-5805.
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Mohammad Baratnia & Mahdi Doostparast. (2021) A reversed-hazard-based nonlinear model for one-way classification. Communications in Statistics - Simulation and Computation 0:0, pages 1-14.
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Ming Han. (2021) E-Bayesian estimations of parameter and its evaluation standard: E-MSE (expected mean square error) under different loss functions. Communications in Statistics - Simulation and Computation 50:7, pages 1971-1988.
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Ming Han. (2020) The E-Bayesian estimation and its E-MSE of Pareto distribution parameter under different loss functions. Journal of Statistical Computation and Simulation 90:10, pages 1834-1848.
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Ming Han. (2020) E-Bayesian estimations of the reliability and its E-posterior risk under different loss functions. Communications in Statistics - Simulation and Computation 49:6, pages 1527-1545.
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Ming Han. (2020) E-Bayesian estimation and its E-posterior risk of the exponential distribution parameter based on complete and type I censored samples. Communications in Statistics - Theory and Methods 49:8, pages 1858-1872.
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Hassan Piriaei, Gholamhossein Yari & Rahman Farnoosh. (2020) E-Bayesian estimations for the cumulative hazard rate and mean residual life based on exponential distribution and record data. Journal of Statistical Computation and Simulation 90:2, pages 271-290.
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Weihua Shi, Tianrui Ye & Wenhao Gui. The E-Bayesian and hierarchical Bayesian estimations for the reliability analysis of Kumaraswamy generalized distribution based on upper record values. Journal of Statistical Computation and Simulation 0:0, pages 1-32.
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Articles from other publishers (5)
Yarong Yu, Liang Wang, Sanku Dey & Jia Liu. (2023) Estimation of stress-strength reliability from unit-Burr Ⅲ distribution under records data. Mathematical Biosciences and Engineering 20:7, pages 12360-12379.
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M. Nagy, M. H. Abu-Moussa, Adel Fahad Alrasheedi & A. Rabie. (2022) Expected Bayesian estimation for exponential model based on simple step stress with Type-I hybrid censored data. Mathematical Biosciences and Engineering 19:10, pages 9773-9791.
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Hadi Gholizadeh, Hamed Fazlollahtabar & Mohammad Khalilzadeh. (2021) Reliability computation for an uncertain PVC window production system using a modified bayesian estimation. Journal of Intelligent & Fuzzy Systems 40:1, pages 179-189.
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Min Hu & Haiping Ren. (2020) Bayesian Inference of Proportional Hazard Rate Model under Progressively Type-II Censored Sample. IOP Conference Series: Materials Science and Engineering 740:1, pages 012039.
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Mohammad Baratnia & Mahdi Doostparast. (2019) One-way classification with random effects: A reversed-hazard-based approach. Journal of Computational and Applied Mathematics 349, pages 60-69.
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