In this research, the method of synthesis of Pareto distributions of the first type and amputated ace was used to obtain amore flexible distribution of single distributions in the representation of data of complex phenomena and then derived its characteristics (decentralized moments, central moments, variance, torsion coefficient, flattening coefficient, median and mode), and its parameters were estimated in four ways, namely (Maximum Likelihood, moments, fragmentary capabilities and Bayes estimator (Jeffrey method)), and the conclusion was made By using different hypothetical values for the parameters and four different sizes for the samples, namely (100,50,25), the experiment was repeated (1000) times, and using the MSE) criterion to compare the results of the estimate that the torque and bayes methods compete for preference.
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22 December 2023
4TH INTERNATIONAL SCIENTIFIC CONFERENCE OF ALKAFEEL UNIVERSITY (ISCKU 2022)
20–21 December 2022
Najaf, Iraq
Research Article|
December 22 2023
Composite distribution(pareto - amputated exponential) and estimating its parameters Available to Purchase
Eman Qais Abdel Rahman;
Eman Qais Abdel Rahman
a)
Department of Statistics, College of Administration and Economics, Basra University
, Basra, Iraq
a)Corresponding author: [email protected]
Search for other works by this author on:
Wafaa Abdel Samad Ashour
Wafaa Abdel Samad Ashour
b)
Department of Statistics, College of Administration and Economics, Basra University
, Basra, Iraq
Search for other works by this author on:
Eman Qais Abdel Rahman
a)
Department of Statistics, College of Administration and Economics, Basra University
, Basra, Iraq
Wafaa Abdel Samad Ashour
b)
Department of Statistics, College of Administration and Economics, Basra University
, Basra, Iraq
a)Corresponding author: [email protected]
AIP Conf. Proc. 2977, 030001 (2023)
Citation
Eman Qais Abdel Rahman, Wafaa Abdel Samad Ashour; Composite distribution(pareto - amputated exponential) and estimating its parameters. AIP Conf. Proc. 22 December 2023; 2977 (1): 030001. https://doi.org/10.1063/5.0182112
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