Accuracy analysis for logistic regression parameters estimation
Int. Conf. for microelectronics • 2004
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
أعضاء هيئة التدريس - جامعة بنها