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2024, Vol. 9, Issue 6, Part C

Comparison between some robust estimation methods in logistic regression


Author(s): Saad Obaid Jameel AL-Masoodi

Abstract: In this research, robust estimation methods were relied upon to estimate the two-response logistic regression, and the comparison between the robust M method and the Laplace method was used, and the model parameter (β0, β1) was estimated, and based on the simulation results that were conducted and assumed after taking initial default values ​​for the parameters and then analyzing the results and reviewing the comparison results with the (MSE) criterion, it appeared to us that the robust M method is better than the Laplace method because it is the least in the case of a large sample.

Pages: 243-248 | Views: 15 | Downloads: 5

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International Journal of Statistics and Applied Mathematics
How to cite this article:
Saad Obaid Jameel AL-Masoodi. Comparison between some robust estimation methods in logistic regression. Int J Stat Appl Math 2024;9(6):243-248.

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