[HTML][HTML] Prediction of corporate financial distress based on digital signal processing and multiple regression analysis
L Li, M Yousif, N El-Kanj - Applied Mathematics and Nonlinear Sciences - sciendo.com
In order to reduce the default rate of corporate bond market, the author proposes to use
digital signal processing and multiple regression analysis to study the prediction system of …
digital signal processing and multiple regression analysis to study the prediction system of …
Prediction of corporate financial distress based on digital signal processing and multiple regression analysis
L Li, MF Yousif, N El Kanj - Applied Mathematics and Nonlinear …, 2023 - documat.unirioja.es
In order to reduce the default rate of corporate bond market, the author proposes to use
digital signal processingand multiple regression analysis to study the prediction system of …
digital signal processingand multiple regression analysis to study the prediction system of …
[PDF][PDF] Prediction of corporate financial distress based on digital signal processing and multiple regression analysis
L Li, M Yousif, N El-Kanj - scholar.archive.org
In order to reduce the default rate of corporate bond market, the author proposes to use
digital signal processing and multiple regression analysis to study the prediction system of …
digital signal processing and multiple regression analysis to study the prediction system of …
Prediction of corporate financial distress based on digital signal processing and multiple regression analysis
L Li, MF Yousif, N El Kanj - Applied Mathematics and Nonlinear …, 2023 - dialnet.unirioja.es
In order to reduce the default rate of corporate bond market, the author proposes to use
digital signal processingand multiple regression analysis to study the prediction system of …
digital signal processingand multiple regression analysis to study the prediction system of …