Estimation of the Parameters by Using non-Bayesian in Modified Weibull Extension Distribution

Yass, Shaima'a and Kanani, Iden Al (2022) Estimation of the Parameters by Using non-Bayesian in Modified Weibull Extension Distribution. In: Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9 September 2021, Sakarya, Turkey.

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Abstract

In this paper, studying the modified Weibull extension model, and derive the estimators of three parameters by using the maximum likelihood method, and ordinary least squares estimator method. Then by utilizing the Monte Carlo method in the simulation procedure to generate many various samples sizes

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 15:11
Last Modified: 17 Apr 2026 06:53
URI: http://eprints.eai.eu/id/eprint/38181

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