Abstract
In this paper, estimation of the parameters of the second-order polynomial regression model was obtained when the error is distributed it is distribution long-tailed symmetric because of the presence of outliers and using Maximum Likelihood, and L-Method. simulation is illustrated, and Mean Squared Error (MSE) is used as an evaluation criterion. This research includes six sample sizes (50,60,80,90,100,120) and includes the application of the methods of the medical data representing diabetes.
DOI
10.33095/jeas.v28i134.2428
Subject Area
Statistical
First Page
160
Last Page
167
Rights
http://creativecommons.org/licenses/by-nc-nd/4.0
Recommended Citation
Mohammad, M. Y., & Ahmed, A. D. (2022). Estimating Parameters Via L-Linear Method for Second-Order Regression of Polynomial Model. Journal of Economics and Administrative Sciences, 28(134), 160-167. https://doi.org/10.33095/jeas.v28i134.2428
