مقارنة بين الخوارزمية الجينية والمربعات الصغرى الموزونة لتقدير أنموذج انحدار لوجستي متعددة الاستجابة (باستخدام المحاكاة (Simulation

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doi:10.57026/wsj.v4i12.89

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Warith Scientific Journal is an international open-access journal devoted at publishing peer-reviewed original high-quality researches and review papers. The scope of WSJ covers a wide range of topics in business adminstration, edonomics and accounting. Papers in which knowlege from other discplines, integrated with above aspects, are welcome. All published researches articles in this journal have undergone rigorous double-blind peer review by expert international referees, after initial editor screening.

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Published Dec 31, 2022

https://doi.org/10.57026/wsj.v4i12.89

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Statistic

Vol 4 No 12 (2022): WSJ

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Abstract

The logistic regression model is one of the most important regression analysis models in the case of metadata. Where this research included a comparison between the genetic algorithm method with the weighted least squares method, where a simulation experiment was conducted for different sample sizes (small, medium, large) (125,75,25). For three cases of default values that were set by the researcher for the values of the model parameters (B2, B1, B0) using the Monte-Carlo method for the purpose of arriving at the optimal method for estimating a multi-level logistic regression model, and the results showed that the genetic algorithm (GA) method It is better and more efficient than the weighted least squares (WLS) method at small sample sizes (25).

How to Cite

root, root. (2022). A comparison between genetic algorithm and weighted least squares for estimating a multiple response logistic regression model using simulation. Warith Scientific Journal, 4(12), 255-267. https://doi.org/10.57026/wsj.v4i12.89

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