تحديد العوامل المؤثرة على فشل الشركات باستخدام الإنحدار اللوجستي
Other Title(s)
Determine the factors that influence the company's failure by using logistic regression
Joint Authors
الزوبعي، عبيد محمود محسن
سليمان، محمود أحمد عبيد
Issue
Vol. 32, Issue 2 (30 Jun. 2021), pp.371-382, 12 p.
Publisher
Publication Date
2021-06-30
Country of Publication
Iraq
No. of Pages
12
Main Subjects
Financial and Accounting Sciences
Abstract EN
Predicting the failure of companies is one of the important and influencing matters, whether for the companies themselves, competing companies or investors.
In addition, to the effect of this on the country's economies.
In our research, the logistic regression technique was applied to know the most important variables that have a significant effect on the failure or success of companies.
The research also includes the arrangement of these variables according to their importance in influencing the dependent variable that represents the failure or success of companies.
The application was applied to a sample with size of (33) companies that included (16) successful companies and (17) failed companies.
However, four quantitative variables were specified as well as the dependent variable (Y), which is a qualitative variable.
And that the model which was built proved the tests significantly and its ability to classify correctly by 84.8% .
American Psychological Association (APA)
سليمان، محمود أحمد عبيد والزوبعي، عبيد محمود محسن. 2021. تحديد العوامل المؤثرة على فشل الشركات باستخدام الإنحدار اللوجستي. مج. 32، ع. 2، ص ص. 371-382.
https://search.emarefa.net/detail/BIM-1359020
Modern Language Association (MLA)
سليمان، محمود أحمد عبيد والزوبعي، عبيد محمود محسن. تحديد العوامل المؤثرة على فشل الشركات باستخدام الإنحدار اللوجستي. مج. 32، ع. 2 (2021)، ص ص. 371-382.
https://search.emarefa.net/detail/BIM-1359020
American Medical Association (AMA)
سليمان، محمود أحمد عبيد والزوبعي، عبيد محمود محسن. تحديد العوامل المؤثرة على فشل الشركات باستخدام الإنحدار اللوجستي. . 2021. مج. 32، ع. 2، ص ص. 371-382.
https://search.emarefa.net/detail/BIM-1359020
Data Type
Journal Articles
Language
Arabic
Notes
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Record ID
BIM-1359020