Comparison of Some Methods for Estimating Poisson Regression Model Parameters Using the Genetic Algorithm

Authors

  • Sabah Manfi Redha 1Department of Statistics, College of Administration and Economics, University of Baghdad, Author
  • Rabab Abdulrida Saleh Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq. Author
  • Adila Abdullatif Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq. Author

DOI:

https://doi.org/10.61841/05mse350

Keywords:

Artificial Intelligence

Abstract

The Poisson regression model is one of the log- linear most important models and this model is suitable for analyzing data in the form of a Counting data Or rates This model deals with the effects of the response variable that are rare in This paper, the procedure for the maximum likelihood estimation of the regression coefficient apply for Poisson regression and the Bayesian Poisson regression using some of Artificial intelligence algorithms

 

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References

1. Chan, A. B., & Vasconcelos, N. (2009, September). Bayesian poisson regression for crowd counting. In 2009 IEEE 12th international conference on computer vision (pp. 545-551). IEEE.

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3. Jebari, K., Madiafi, M., & Moujahid, A. E. (2014). Solving poisson equation by genetic algorithms. arXiv preprint arXiv:1401.0523.

4. Joyce, D. (2014). MATH 217--Probability and Statistics.

5. Jun, S. (2018). Bayesian Count Data Modeling for Finding Technological Sustainability. Sustainability, 10(9), 3220.

6. Månsson, K., & Shukur, G. (2011). A Poisson ridge regression estimator. Economic Modelling, 28(4), 1475-1481.

7. Misra, A. K., & Sebastian, J. (2013). Portfolio optimization of commercial banks-an application of genetic algorithm. European Journal of Business and Management, 5(6), 120-129.

8. Rashwan, N. A., & Kamel, M. M. (2011). Using generalized Poisson log linear regression models in analyzing two-way contingency tables. Applied Mathematical Sciences, 5(5), 213-222.

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Published

31.10.2020

Issue

Vol. 24 No. 8 (2020): 24 (8) 2020

Section

Articles

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How to Cite

Redha, S. M., Saleh, R. A., & Abdullatif, A. (2020). Comparison of Some Methods for Estimating Poisson Regression Model Parameters Using the Genetic Algorithm. International Journal of Psychosocial Rehabilitation, 24(8), 4462-4467. https://doi.org/10.61841/05mse350