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Comparison of Five Methods to Estimate the Parameters for the Three-Parameter Lindley Distribution with Application to Life Data.
Thamer, Mathil K; Zine, Raoudha.
  • Thamer MK; Laboratory of Probability and Statistics, Faculty of Sciences of Sfax, Sfax, Tunisia.
  • Zine R; Department of Economics, College of Administration and Economics, University of Anbar, Iraq.
Comput Math Methods Med ; 2021: 2689000, 2021.
Article in English | MEDLINE | ID: covidwho-1566408
ABSTRACT
We have studied one of the most common distributions, namely, Lindley distribution, which is an important continuous mixed distribution with great ability to represent different systems. We studied this distribution with three parameters because of its high flexibility in modelling life data. The parameters were estimated by five different methods, namely, maximum likelihood estimation, ordinary least squares, weighted least squares, maximum product of spacing, and Cramér-von Mises. Simulation experiments were performed with different sample sizes and different parameter values. The different methods were compared on the generated data by mean square error and mean absolute error. In addition, we compared the methods for real data, which represent COVID-19 data in Iraq/Anbar Province.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Public Health Informatics / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: Asia Language: English Journal: Comput Math Methods Med Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 2021

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Public Health Informatics / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: Asia Language: English Journal: Comput Math Methods Med Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 2021