انموذج الانحدار اللوجستي الثنائي
طريقة الامكان الاعظم
خوارزمية نيوتن رافسون
طريقة تصغير مربع كاي
طريقة المربعات الصغرى الموزونة
طريقة بيز
خوارزمية جبس.
: Binary Logistic Regression Models (BLRM)
Maximum Likelihood Method (MLM)
Newton-Raphson Algorithm(NR)
Minimum Chi-Square (MCSM)
Weighted Least Squares Method (WLSM)
Bayes Method(BM)
Gibbs Algorithm.
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Abstract
Binary logistic regression model used in data classification and it is the strongest most flexible tool in study cases variable response binary when compared to linear regression. In this research, some classic methods were used to estimate parameters binary logistic regression model, included the maximum likelihood method, minimum chi-square method, weighted least squares, with bayes estimation , to choose the best method of estimation by default values to estimate parameters according two different models of general linear regression models ,and different s
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