YALÇINKAYA, A. Et Al. 2021. A new approach using the genetic algorithm for parameter estimation in multiple linear regression with long-tailed symmetric distributed error terms: An application to the Covid-19 data. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS , vol.216 .

YALÇINKAYA, A., GEDİK BALAY, İ., & ŞENOĞLU, B., (2021). A new approach using the genetic algorithm for parameter estimation in multiple linear regression with long-tailed symmetric distributed error terms: An application to the Covid-19 data. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS , vol.216.

YALÇINKAYA, ABDULLAH, İKLİM GEDİK BALAY, And BİRDAL ŞENOĞLU. "A new approach using the genetic algorithm for parameter estimation in multiple linear regression with long-tailed symmetric distributed error terms: An application to the Covid-19 data," CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS , vol.216, 2021

YALÇINKAYA, ABDULLAH Et Al. "A new approach using the genetic algorithm for parameter estimation in multiple linear regression with long-tailed symmetric distributed error terms: An application to the Covid-19 data." CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS , vol.216, 2021

YALÇINKAYA, A. GEDİK BALAY, İ. And ŞENOĞLU, B. (2021) . "A new approach using the genetic algorithm for parameter estimation in multiple linear regression with long-tailed symmetric distributed error terms: An application to the Covid-19 data." CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS , vol.216.

@article{article, author={ABDULLAH YALÇINKAYA Et Al. }, title={A new approach using the genetic algorithm for parameter estimation in multiple linear regression with long-tailed symmetric distributed error terms: An application to the Covid-19 data}, journal={CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS}, year=2021}