Comparative Study Based on Simulation of Some Methods of Classical Estimation of the Parameters of Exponentiated Lindley – Logarithmic Distribution

Asian Journal of Probability and Statistics, 22(4), 14-30, 2023

18 Pages Posted: 7 Jun 2023

See all articles by M. Abuh

M. Abuh

Federal Polytechnic, Idah

S. I. Onyeagu

Nnamdi Azikiwe University

Okechukwu Obulezi

NNAMDI AZIKIWE UNIVERSITY

Date Written: May 22, 2023

Abstract

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.

Keywords: Flexibility, Survival functions, Hazard functions, Estimation

JEL Classification: C13

Suggested Citation

Abuh, M. and Onyeagu, S. I. and Obulezi, Okechukwu, Comparative Study Based on Simulation of Some Methods of Classical Estimation of the Parameters of Exponentiated Lindley – Logarithmic Distribution (May 22, 2023). Asian Journal of Probability and Statistics, 22(4), 14-30, 2023, Available at SSRN: https://ssrn.com/abstract=4455984

M. Abuh

Federal Polytechnic, Idah

1037 P. M. B.
Idah, Kogi State
Nigeria

S. I. Onyeagu

Nnamdi Azikiwe University

Awka, 5025
Nigeria

Okechukwu Obulezi (Contact Author)

NNAMDI AZIKIWE UNIVERSITY ( email )

AWKA, AK ANAMBRA STATE
Nigeria
+2348134512001 (Phone)

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
46
Abstract Views
289
PlumX Metrics