E-Bayesian and Hierarchical Bayesian Estimations for the Inverse Weibull Distribution
Autor: | Abdulkareem M. Basheer, A. M. K. Tarabia, Hassan M. Okasha, A. H. El-Baz |
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Rok vydání: | 2021 |
Předmět: |
Computer science
020209 energy Bayesian probability Inverse 02 engineering and technology 01 natural sciences Statistics::Computation Computer Science Applications 010104 statistics & probability Artificial Intelligence 0202 electrical engineering electronic engineering information engineering Business Management and Accounting (miscellaneous) 0101 mathematics Statistics Probability and Uncertainty Algorithm Reliability (statistics) Weibull distribution |
Zdroj: | Annals of Data Science. 10:737-759 |
ISSN: | 2198-5812 2198-5804 |
DOI: | 10.1007/s40745-020-00320-x |
Popis: | In this paper new formulas for E-Bayesian and hierarchical Bayesian estimations of the parameter and reliability of the inverse Weibull distribution are obtained in closed forms. To illustrate the applicability of the obtained results, simulated and real data are used which illustrate that E-Bayesian estimate gives superior performance much better than hierarchical Bayesian for the estimate of the parameter of the inverse Weibull distribution. |
Databáze: | OpenAIRE |
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