DISKRIMINANT ANALIZI PDF

Important User Information: Remote access to EBSCO's databases is permitted to patrons of subscribing institutions accessing from remote locations for personal, non-commercial use. However, remote access to EBSCO's databases from non-subscribing institutions is not allowed if the purpose of the use is for commercial gain through cost reduction or avoidance for a non-subscribing institution. Source: Electronic Turkish Studies. Winter, Vol. Abstract: Classification satisfaction analysis as one of the multivariate statistic methods is used widely in various areas such as performance evaluation. Classification techniques are also divided into two groups depending on whether the classes are known a priori or not.

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Important User Information: Remote access to EBSCO's databases is permitted to patrons of subscribing institutions accessing from remote locations for personal, non-commercial use. However, remote access to EBSCO's databases from non-subscribing institutions is not allowed if the purpose of the use is for commercial gain through cost reduction or avoidance for a non-subscribing institution.

Abstract: It is obviously seen that the Discriminant Analysis DA that is used to classify the observations regardless of the structure of the dependent variable is a firstly preferred method due to the lack of the commonness of alternative methods.

In this study, the performances of the Ordered Logistic Regression Analysis OLR taking into account the ordered structure of the dependent variable and DA are compared using the data related to the commercial banks displaying activity in Turkey in Important financial indicators are determined and interpreted. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy.

Users should refer to the original published version of the material for the full abstract. All rights reserved.

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