Comparison of some methods for estimating a polynomial regression model using simulation

Authors

  • Mahdi Younes Mohamed, Ahmed Dheyab Ahmed

DOI:

https://doi.org/10.17762/msea.v71i4.549

Abstract

In this research, estimators and parameters of the second-order polynomial regression model were found when the random error distribution was long-tailed symmetric using the Modified Maximum likelihood Method and the Robust M method. These methods proved their efficiency more than the ordinary least squares method through comparison between them using mean square error and simulation for three sample sizes (60, 90, 120).

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Published

2022-08-24

How to Cite

Mahdi Younes Mohamed, Ahmed Dheyab Ahmed. (2022). Comparison of some methods for estimating a polynomial regression model using simulation. Mathematical Statistician and Engineering Applications, 71(4), 693–706. https://doi.org/10.17762/msea.v71i4.549

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Section

Articles