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If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.
Customer service
All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com
Sale & Press
If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com
One of the most important innovative concepts is the credit scoring. Today it can be interested in different sectors. Thus the improvement of credit scoring is increasing day by day as a strongest part of Risk Assessment Management. The credit scoring with the help of classification techniques provides to take easy and quick decisions in lending. However, no definite consensus has been reached with regard to the best method for credit scoring and in what conditions the methods performs best. Although a huge range of classification techniques has been used in this area, the logistic regression has been seen an important tool and used very widely in studies. This research aims to examine accuracy and bias properties in parameter estimation of the logistic regression,linear discriminant analysis, linear regression by using German Data which has different variables, data types, real basement and accurately results. Moreover, application of these significant statistical analyzes on German data is provided and the method accuracies are examine for new consumer elements by the software application. Finally, the book is the best display of this method for ratings based on the results ever.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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⚠️ California Proposition 65 Warning: Some products sold on this website may expose you to chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm. For more information, visit www.P65Warnings.ca.gov.
