PARAMETER ESTIMATION BASED ON MAXIMUM LIKELIHOOD ESTIMATION METHOD FOR WEIBULL DISTRIBUTION USING DRAGONFLY ALGORITHM

Aynur YONAR; Nimet YAPICI PEHLİVAN

doi:https://doi.org/10.22531/muglajsci.973403

Makale detayları

PARAMETER ESTIMATION BASED ON MAXIMUM LIKELIHOOD ESTIMATION METHOD FOR WEIBULL DISTRIBUTION USING DRAGONFLY ALGORITHM

Yazarlar:

Aynur YONAR | Nimet YAPICI PEHLİVAN

Yayıncı:

Muğla Sıtkı Koçman Üniversitesi

Ana Başlıklar:

Uygulamalı fizik | Astronomi ve ilgili bilimler

Dergi:

Mugla Journal of Science and Technology 2021 Vol.7 Issue 2, pp.84-90

Belge Tipi:

Makale

Yayın Tarihi:

12/2021

Belge Dili:

İngilizce

Document ID (Org No.):

2000576428

Sıklık:

İki Yıllık

pISSN:

2149-3596

DOI:

https://doi.org/10.22531/muglajsci.973403

Özet:

 

Three-parameter (3-p) Weibull distribution is commonly used in sciences such as engineering, reliability, and renewable energy. Thus, a great number of studies have been conducted on the estimation for the parameters of this distribution. One of the mostly utilized methods for estimating the unknown parameters of the Weibull distribution in the related literature is Maximum likelihood (ML) method. In this study, a population-based novel heuristic method is proposed to use the Dragonfly Algorithm (DA) for obtaining the Maximum Likelihood estimates of three-parameter Weibull distribution. Inspired by the static and dynamic swarming behavior of the dragonflies in nature, Dragonfly algorithm has been introduced. These behaviors ensure that the algorithm has a high exploration and exploitation. An extensive Monte-Carlo simulation study is conducted to show the performance of the DA. Furthermore, the performance of DA is compared with other algorithms well known in the literature. Finally, a real data set is analyzed to show the applicability of the ML estimation based on the DA.

Makale detayları

PARAMETER ESTIMATION BASED ON MAXIMUM LIKELIHOOD ESTIMATION METHOD FOR WEIBULL DISTRIBUTION USING DRAGONFLY ALGORITHM

Yazarlar: Aynur YONAR | Nimet YAPICI PEHLİVAN

Yayıncı: Muğla Sıtkı Koçman Üniversitesi

Ana Başlıklar: Uygulamalı fizik | Astronomi ve ilgili bilimler

Dergi: Mugla Journal of Science and Technology 2021 Vol.7 Issue 2, pp.84-90

Belge Tipi: Makale

Yayın Tarihi: 12/2021

Belge Dili: İngilizce

Document ID (Org No.): 2000576428

Sıklık: İki Yıllık

pISSN: 2149-3596

DOI: https://doi.org/10.22531/muglajsci.973403

Sayı

Yazarlar:

Aynur YONAR | Nimet YAPICI PEHLİVAN

Yayıncı:

Muğla Sıtkı Koçman Üniversitesi

Ana Başlıklar:

Uygulamalı fizik | Astronomi ve ilgili bilimler

Dergi:

Mugla Journal of Science and Technology 2021 Vol.7 Issue 2, pp.84-90

Belge Tipi:

Makale

Yayın Tarihi:

12/2021

Belge Dili:

İngilizce

Document ID (Org No.):

2000576428

Sıklık:

İki Yıllık

pISSN:

2149-3596

DOI:

https://doi.org/10.22531/muglajsci.973403