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Accuracy analysis for logistic regression parameters estimation

Int. Conf. for microelectronics • 2004
العودة
معلومات البحث
المؤلفون Dubov I.R., Diab T.O
الكلمات المفتاحية logistic regression, neural network
المجلة العلمية Int. Conf. for microelectronics
الناشر Not Available
المجلد Not Available
العدد Not Available
الصفحات 181 – 183
publication.type International
رابط البحث Not Available
المواد المرفقة Not Available
الملخص
logistic regression is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome. The outcome is measured with a dichotomous variable (in which there are only two possible outcomes). The goal of logistic regression is to find the best fitting (yet biologically reasonable) model to describe the relationship between the dichotomous characteristic of interest (dependent variable = response or outcome variable) and a set of independent (predictor or explanatory) variables. In this paper, the analysis of for logistic regression parameters estimation is presented