Kılıç, D. Et Al. 2023. Investigation of Bell Regression Model as an Alternative to Poisson and Negative Binomial Regression Models: Determining the Factors Affecting Length of Staying Hospital with The Case of Turkey. Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi , vol.13, no.2 , 1256-1265.

Kılıç, D., AKDUR, H. T. K., & BAYRAK, H., (2023). Investigation of Bell Regression Model as an Alternative to Poisson and Negative Binomial Regression Models: Determining the Factors Affecting Length of Staying Hospital with The Case of Turkey. Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi , vol.13, no.2, 1256-1265.

Kılıç, Duygu, HATİCE TÜL KÜBRA AKDUR, And HÜLYA BAYRAK. "Investigation of Bell Regression Model as an Alternative to Poisson and Negative Binomial Regression Models: Determining the Factors Affecting Length of Staying Hospital with The Case of Turkey," Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi , vol.13, no.2, 1256-1265, 2023

Kılıç, Duygu Et Al. "Investigation of Bell Regression Model as an Alternative to Poisson and Negative Binomial Regression Models: Determining the Factors Affecting Length of Staying Hospital with The Case of Turkey." Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi , vol.13, no.2, pp.1256-1265, 2023

Kılıç, D. AKDUR, H. T. K. And BAYRAK, H. (2023) . "Investigation of Bell Regression Model as an Alternative to Poisson and Negative Binomial Regression Models: Determining the Factors Affecting Length of Staying Hospital with The Case of Turkey." Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi , vol.13, no.2, pp.1256-1265.

@article{article, author={Duygu Kılıç Et Al. }, title={Investigation of Bell Regression Model as an Alternative to Poisson and Negative Binomial Regression Models: Determining the Factors Affecting Length of Staying Hospital with The Case of Turkey}, journal={Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi}, year=2023, pages={1256-1265} }