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Accuracy analysis for logistic regression parameters estimation

Int. Conf. for microelectronics • 2004
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Publication Information
Authors Dubov I.R., Diab T.O
Keywords logistic regression, neural network
Journal Int. Conf. for microelectronics
Publisher Not Available
Volume Not Available
Issue Not Available
Pages 181 – 183
publication.type International
Paper Link Not Available
Supplementary Materials Not Available
Abstract
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