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Communications in Statistics - Theory and Methods Volume 32, 2003 - Issue 2
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Original Articles

Choice Between Weibull and Lognormal Models: A Simulation Based Bayesian Study

S. K. Upadhyay Banaras Hindu University, Varanasi, IndiaCorrespondence[email protected]
&
M. Peshwani Banaras Hindu University, Varanasi, India
Pages 381-405 | Published online: 15 Feb 2007

Citations (17)

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Ankita Gupta, Rakesh Ranjan & Satyanshu K. Upadhyay. (2023) A Bayes Analysis and Comparison of Arrhenius Weibull and Arrhenius Lognormal Models under Competing Risk. American Journal of Mathematical and Management Sciences 42:2, pages 105-125.
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Vikas Kumar Sharma, Sanjay Kumar Singh, Umesh Singh & Faton Merovci. (2016) The generalized inverse Lindley distribution: A new inverse statistical model for the study of upside-down bathtub data. Communications in Statistics - Theory and Methods 45:19, pages 5709-5729.
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Ankit Khokhar & S.K. Upadhyay. (2014) A Bayes Study on the Feasibility of Shape and Threshold Parameters Based on the Assumption of Exponential and Weibull Models. Communications in Statistics - Simulation and Computation 43:4, pages 851-870.
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S. K. Upadhyay, Ashutosh Gupta, Bhaswati Mukherjee & Ankit Khokhar. (2013) A Bayes comparison of Weibull extension and modified Weibull models for data showing bathtub hazard rate. Journal of Statistical Computation and Simulation 83:1, pages 68-81.
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H. Jiang, M. Xie & L.C. Tang. (2008) Markov chain Monte Carlo methods for parameter estimation of the modified Weibull distribution. Journal of Applied Statistics 35:6, pages 647-658.
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Articles from other publishers (12)

Praveen Kumar TripathiRijji SenS. K. Upadhyay. (2021) A Bayes algorithm for model compatibility and comparison of ARMA( p , q ) models . Statistics in Transition New Series 22:2, pages 95-123.
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Vikas Kumar Sharma. 2020. Handbook of Probabilistic Models. Handbook of Probabilistic Models 265 287 .
Mahmoud Eltehiwy. (2019) Extended Exponentiated Inverse Lindley Distribution: Model, Properties and Applications. Journal of the Indian Society for Probability and Statistics 20:2, pages 281-300.
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Jesus Francisco Ortiz-Yañez & Manuel Román Piña Monarrez. (2018) Discrimination between the lognormal and Weibull Distributions by using multiple linear regression. DYNA 85:205, pages 9-18.
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Xiang Jia, Saralees Nadarajah & Bo Guo. (2018) The effect of mis-specification on mean and selection between the Weibull and lognormal models. Physica A: Statistical Mechanics and its Applications 492, pages 1875-1891.
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Said Hofan Alkarni. (2015) Extended inverse Lindley distribution: properties and application. SpringerPlus 4:1.
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Mohamed A. W. Mahmoud, Ahmed A. Soliman, Ahmed H. Abd Ellah & Rashad M. El-Sagheer. (2013) Estimation of Generalized Pareto under an Adaptive Type-II Progressive Censoring. Intelligent Information Management 05:03, pages 73-83.
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Bhaswati Mukherjee, Ashutosh Gupta & S. K. Upadhyay. (2011) A Bayesian study for the comparison of generalized gamma model with its components. Sankhya B 72:2, pages 154-174.
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Caterina Conigliani. (2010) A Bayesian model averaging approach with non-informative priors for cost-effectiveness analyses. Statistics in Medicine 29:16, pages 1696-1709.
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Jin Seon Kim & Bong-Jin Yum. (2008) Selection between Weibull and lognormal distributions: A comparative simulation study. Computational Statistics & Data Analysis 53:2, pages 477-485.
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S.K. Upadhyay & B. Mukherjee. (2008) Assessing the Value of the Threshold Parameter in the Weibull Distribution Using Bayes Paradigm. IEEE Transactions on Reliability 57:3, pages 489-497.
Crossref
José M. Bernardo. 2005. Bayesian Thinking - Modeling and Computation. Bayesian Thinking - Modeling and Computation 17 90 .

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