Binary logistic regression model
Nadaraya–Watson method
Local Scoring algorithm
Cross validation method
generalized Cross validation
Plug in method.
انموذج الانحدار اللوجستي الثنائي
طريقه ناداريا –واتسون
خوارزمية التهديف الموضعي
طريقة العبور الشرعي
العبور الشرعي المعمم
طريقة الملئ المباشر .
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In this research, the methods of Kernel estimator (nonparametric density estimator) were relied upon in estimating the two-response logistic regression, where the comparison was used between the method of Nadaraya-Watson and the method of Local Scoring algorithm, and optimal Smoothing parameter λ was estimated by the methods of Cross-validation and generalized Cross-validation, bandwidth optimal λ has a clear effect in the estimation process. It also has a key role in smoothing the curve as it approaches the real curve, and the goal of using the Kernel estimator is to modify the observations so that we can obtain estimators with characteristics close to the properties of real parameters, and based on medical data for patients with chro
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