Logistic regression and an application of banking data
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Abstract (EN)
Banking business permanency depends on effective risk management. With this study it is intented to predict the probability of an account to be good or bad in the future and determine the significant variables. Firstly, multivariate statistical analysis methods and logistic regression, which is one of them and the statistical modelling technique, are considered. After that an application of banking data is interpreted. Logistic regression model is developed by using SPSS 15.0. Keywords: Logistic regression, scorecard, modelling, binary logistic regression
Author
Elmira Kocabaş
Institution
How to Cite
Elmira Kocabaş (Master Thesis). Logistic regression and an application of banking data, 2014, Yıldız Technical University.
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