A new distribution with four parameters: Properties and applications

Kadir Karakaya; Coşkun Kuş; Yunus Akdoğan

Makale detayları

A new distribution with four parameters: Properties and applications

Yazarlar:

Kadir Karakaya | Coşkun Kuş | Yunus Akdoğan

Yayıncı:

Yildiz Technical University

Ana Başlıklar:

Software Testing | Verification and Validation

Dergi:

Sigma Journal of Engineering and Natural Sciences Vol.41 Issue 2, pp.276-287

Belge Tipi:

Makale

Yayın Tarihi:

4/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001311501

pISSN:

1304-7191

Anahtar kelimeler:

Özet:

 In this paper, a new lifetime distribution called compounded geometric-mixture exponential distribution is proposed by compounding the mixture exponential and geometric distribu-tions. Some properties of the new distribution such as survival function, hazard function, mo-ments, Lorenz and Bonferroni curves, etc. are obtained. The estimations of four parameters of the new model are studied by several methods. A Monte Carlo simulation study is performed to understand the behavior of estimators. Two real data applications are also provided.

 In this paper, a new lifetime distribution called compounded geometric-mixture exponential distribution is proposed by compounding the mixture exponential and geometric distribu-tions. Some properties of the new distribution such as survival function, hazard function, mo-ments, Lorenz and Bonferroni curves, etc. are obtained. The estimations of four parameters of the new model are studied by several methods. A Monte Carlo simulation study is performed to understand the behavior of estimators. Two real data applications are also provided.

 In this paper, a new lifetime distribution called compounded geometric-mixture exponential distribution is proposed by compounding the mixture exponential and geometric distribu-tions. Some properties of the new distribution such as survival function, hazard function, mo-ments, Lorenz and Bonferroni curves, etc. are obtained. The estimations of four parameters of the new model are studied by several methods. A Monte Carlo simulation study is performed to understand the behavior of estimators. Two real data applications are also provided.

 In this paper, a new lifetime distribution called compounded geometric-mixture exponential distribution is proposed by compounding the mixture exponential and geometric distribu-tions. Some properties of the new distribution such as survival function, hazard function, mo-ments, Lorenz and Bonferroni curves, etc. are obtained. The estimations of four parameters of the new model are studied by several methods. A Monte Carlo simulation study is performed to understand the behavior of estimators. Two real data applications are also provided.

Makale detayları

A new distribution with four parameters: Properties and applications

Yazarlar:

Kadir Karakaya | Coşkun Kuş | Yunus Akdoğan

Yayıncı:

Yildiz Technical University

Ana Başlıklar:

Software Testing | Verification and Validation

Dergi:

Sigma Journal of Engineering and Natural Sciences Vol.41 Issue 2, pp.276-287

Belge Tipi:

Makale

Yayın Tarihi:

4/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001311501

pISSN:

1304-7191

Compound Distributions

Estimation

Geometric

Distribution

Mixture Exponential Distribution

Sayı

Makale detayları

A new distribution with four parameters: Properties and applications

Yazarlar: Kadir Karakaya | Coşkun Kuş | Yunus Akdoğan

Yayıncı: Yildiz Technical University

Ana Başlıklar: Software Testing | Verification and Validation

Dergi: Sigma Journal of Engineering and Natural Sciences Vol.41 Issue 2, pp.276-287

Belge Tipi: Makale

Yayın Tarihi: 4/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001311501

pISSN: 1304-7191

Compound Distributions

Estimation

Geometric

Distribution

Mixture Exponential Distribution

Sayı

Yazarlar:

Kadir Karakaya | Coşkun Kuş | Yunus Akdoğan

Yayıncı:

Yildiz Technical University

Ana Başlıklar:

Software Testing | Verification and Validation

Dergi:

Sigma Journal of Engineering and Natural Sciences Vol.41 Issue 2, pp.276-287

Belge Tipi:

Makale

Yayın Tarihi:

4/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001311501

pISSN:

1304-7191