Model Selection in Beta Regression Analysis Using Several Information Criteria and Heuristic Optimization

Emre DÜNDER; Mehmet Ali CENGİZ

Makale detayları

Model Selection in Beta Regression Analysis Using Several Information Criteria and Heuristic Optimization

Yazarlar:

Emre DÜNDER | Mehmet Ali CENGİZ

Yayıncı:

Tokat Gaziosmanpasa University

Ana Başlıklar:

Matematik

Dergi:

Journal of New Theory 2020 Issue 33, pp.76-84

Belge Tipi:

Makale

Yayın Tarihi:

12/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000490368

Sıklık:

Üç Aylık

pISSN:

2149-1402

Özet:

 

In the context of generalized linear modelling (GLM), the beta regression analysis is used to estimate regression models when the dependent variable lies between (0,1). In this paper, we carried out a model selection process using several information criteria with heuristic optimization. We employed the differential evolution algorithm as a heuristic optimization method to select the best model for beta regression analysis. The results show that the alternative-type information criteria provide competitive results during the model selection process in beta regression analysis.

Makale detayları

Model Selection in Beta Regression Analysis Using Several Information Criteria and Heuristic Optimization

Yazarlar: Emre DÜNDER | Mehmet Ali CENGİZ

Yayıncı: Tokat Gaziosmanpasa University

Ana Başlıklar: Matematik

Dergi: Journal of New Theory 2020 Issue 33, pp.76-84

Belge Tipi: Makale

Yayın Tarihi: 12/2020

Belge Dili: İngilizce

Document ID (Org No.): 2000490368

Sıklık: Üç Aylık

pISSN: 2149-1402

Sayı

Yazarlar:

Emre DÜNDER | Mehmet Ali CENGİZ

Yayıncı:

Tokat Gaziosmanpasa University

Ana Başlıklar:

Matematik

Dergi:

Journal of New Theory 2020 Issue 33, pp.76-84

Belge Tipi:

Makale

Yayın Tarihi:

12/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000490368

Sıklık:

Üç Aylık

pISSN:

2149-1402