A theoretical analysis of a pattern recognition algorithm for bank failure prediction /
analyzed. This research shows that the pattern recognition
| Main Author: | |
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| Format: | Thesis eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
[publisher not identified] ;
1994.
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| Subjects: | |
| Online Access: | Link to OAKTrust copy |
| Summary: | analyzed. This research shows that the pattern recognition centers on the binarization, feature selection and feature construction procedures. Alternative methods for the Discriminant Analysis and logit models are described and Early Warning System is a powerful, flexible and accurate empirical tests of a pattern recognition based Early Warning Finally, empirical comparisons of the prediction accuracy of prediction and classification system. selection of binarization cutpoints are suggested and tested. System for bank failure prediction. The theoretical analysis the Early Warning System against those obtained with Multiple This thesis describes a theoretical analysis and a series of |
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| Item Description: | "Major subject: Industrial Engineering". Vita. |
| Physical Description: | x, 73 leaves : illustrations ; 28 cm. Also available online. |
| Bibliography: | Includes bibliographical references. |