Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 13, Issue 2


Published
on


Pages

529-538


DOI

Article

Optimal Solutions of Parameters of the Modified Weibull Distribution using Least Squares and Maximum Likelihood Methods


Authors

Jamel Kenouza* Affiliation:
S.A University Center of Naama, Algeria
and Abderrahmane Belguerna Affiliation:
Sciences and technologies institute, department of Mathematics and computer sciences. University center of Naama. Algeria


Abstract

Parametric statistics are among the most important research that enables us to identify the advantages of the communities studied from the study of some of the samples taken from them. In this paper, we identify Weibwll's modified model with three parameters a. b. c, then we study the asymptotic properties of these parameters estimation, using the least squares and maximum likelihood methods by comparing estimated parameters with seized parameters by changing the size of the sample each time.


Keywords

Optimization, Least Squares, Maximum Likelihood, Modified Weibull Distribution, Numerical illustration


Citation

Kenouza, J. & Belguerna, A. (2022). Optimal solutions of parameters of the modified weibull distribution using least squares and maximum likelihood methods. Turkish Journal of Computer and Mathematics Education, 13(2), 529–538.

Published by: Engineering Journals

Engineering Journals Logo