Accuracy analysis for logistic regression parameters estimation
Int. Conf. for microelectronics • 2004
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
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