Comparative Study Based on Simulation of Some Methods of Classical Estimation of the Parameters of Exponentiated Lindley – Logarithmic Distribution
Abuh Musa, Sidney I. Onyeagu, Okechukwu J. Obulezi
Asian Journal of Probability and Statistics · pp. 14–30 · Published 22 May 2023
10.9734/ajpas/2023/v22i4489Abstract
In this article, some non-bayesian estimation procedures of the Exponentiated Power Lindley-Logarithmic Distribution for modeling real life data are considered. A simulation study is carried out to determine the best among others using the root meas squared error values. Real life data are used to substantiate the result from the simulation study. It was discovered from simulation study and real data that the weighted least squares estimation procedure is the best method for estimating the parameters of the Exponentiated Power Lindley-Logarithmic distribution.
Cited by 5
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Mmesoma Peace Nwankwo, Ndukaku Macdonald Onyeizu, Emmanuel Chibuogu Asogwa · European Journal of Theoretical and Applied Sciences · 2023
Okechukwu J. Obulezi, Chinyere P. Igbokwe, Ifeanyi C. Anabike · Earthline Journal of Mathematical Sciences · 2023
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