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A. F. B. Menezes, J. Mazucheli, R. P. de Oliveira & S. Chakraborty. (2023) Improved maximum likelihood estimation of the parameters of the Gamma-Uniform distribution with bias-corrections. Communications in Statistics - Simulation and Computation 52:9, pages 4023-4035.
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Hadi Alizadeh Noughabi. (2022) Sample entropy applied to test of fit for Lindley distribution and power comparison. Journal of Statistics and Management Systems 25:8, pages 1781-1802.
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Mahdi Teimouri. (2022) Bias corrected maximum likelihood estimators under progressive type-I interval censoring scheme. Communications in Statistics - Simulation and Computation 51:11, pages 6854-6865.
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Sanku Dey & Liang Wang. (2022) Methods of Estimation and Bias Corrected Maximum Likelihood Estimators of Unit Burr III Distribution. American Journal of Mathematical and Management Sciences 41:4, pages 316-333.
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İklim Gedik Balay. (2021) Estimation of the generalized process capability index C based on bias-corrected maximum-likelihood estimators for the generalized inverse Lindley distribution and bootstrap confidence intervals. Journal of Statistical Computation and Simulation 91:10, pages 1960-1979.
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Fernando Ferraz do Nascimento & Wires do Nascimento Moura. (2021) Inference using MCMC to a new conjugate prior to positive parameters, applied in environmental data. Communications in Statistics: Case Studies, Data Analysis and Applications 7:1, pages 36-48.
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André Felipe Berdusco Menezes & Josmar Mazucheli. (2020) Improved maximum likelihood estimators for the parameters of the Johnson S distribution. Communications in Statistics - Simulation and Computation 49:6, pages 1511-1526.
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Josmar Mazucheli, André Felipe Berdusco Menezes & Sanku Dey. (2019) Bias-corrected maximum likelihood estimators of the parameters of the inverse Weibull distribution. Communications in Statistics - Simulation and Computation 48:7, pages 2046-2055.
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Pedro L. Ramos, Francisco Louzada, Taciana K. O. Shimizu & Aline O. Luiz. (2019) The inverse weighted Lindley distribution: Properties, estimation and an application on a failure time data. Communications in Statistics - Theory and Methods 48:10, pages 2372-2389.
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Josmar Mazucheli, André Felipe Berdusco Menezes & Sanku Dey. (2018) Improved maximum-likelihood estimators for the parameters of the unit-gamma distribution. Communications in Statistics - Theory and Methods 47:15, pages 3767-3778.
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J. Mazucheli & Sanku Dey. (2018) Bias-corrected maximum likelihood estimation of the parameters of the generalized half-normal distribution. Journal of Statistical Computation and Simulation 88:6, pages 1027-1038.
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P.L. Ramos & F. Louzada. (2016) The generalized weighted Lindley distribution: Properties, estimation, and applications. Cogent Mathematics 3:1.
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Articles from other publishers (13)
Ahmed Abdulhadi Ahmed, Zakariya Yahya Algamal & Olayan Albalawi. (2024) Bias reduction of maximum likelihood estimation in exponentiated Teissier distribution. Frontiers in Applied Mathematics and Statistics 10.
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Ali A. Al-Shomrani. (2023) An Improvement in Maximum Likelihood Estimation of the Gompertz Distribution Parameters. Journal of Statistical Theory and Applications 22:1-2, pages 98-115.
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Mahdi Teimouri. (2021) bccp: an R package for life-testing and survival analysis. Computational Statistics 37:1, pages 469-489.
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Ali A. Al-Shomrani. (2022) An improvement in maximum likelihood estimation of the Burr XII distribution parameters. AIMS Mathematics 7:9, pages 17444-17460.
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Iklim GEDİK BALAY. (2021) Comparison of different estimation methods for the inverse weighted Lindley distribution. Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics 70:2, pages 1085-1098.
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Hyoung-Moon Kim & Yu-Hyeong Jang. (2021) New closed-form estimators for weighted Lindley distribution. Journal of the Korean Statistical Society 50:2, pages 580-606.
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Shuyi Wang & Wenhao Gui. (2020) Corrected Maximum Likelihood Estimations of the Lognormal Distribution Parameters. Symmetry 12:6, pages 968.
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Nurul Hafizah Binti Azizan, Zamalia Binti Mahmud & Adzhar Bin Rambli. (2019) Rasch measurement model: a review of Bayesian estimation for estimating the person and item parameters. Journal of Physics: Conference Series 1366:1, pages 012105.
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Mahdi Rasekhi & Gholamhossein G. Hamedani. (2019) Bias-corrected Maximum-Likelihood Estimator for the Parameter of the Logarithmic Series Distribution and its Characterizations. Journal of Statistical Research of Iran 16:1, pages 59-72.
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Marcelo Bourguignon. (2018) An Alternative Conjugate Prior Distribution for Positive Parameters. Annals of Data Science 6:2, pages 237-243.
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Joseph Reath, Jianping Dong & Min Wang. (2017) Improved parameter estimation of the log-logistic distribution with applications. Computational Statistics 33:1, pages 339-356.
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Hossein Karimi & Parviz Nasiri. (2018) Estimation Parameter of R = P(Y < X) for Length-Biased Weighted Lomax Distributions in the Presence of Outliers. Mathematical and Computational Applications 23:1, pages 9.
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Man Chen, Zheng Zhang & Cen Cui. (2017) On the Bias of the Maximum Likelihood Estimators of Parameters of the Weibull Distribution. Mathematical and Computational Applications 22:1, pages 19.
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