Predict US restaurant firm failures: the artificial neural network model versus logistic regression model
Year of publication: |
2010
|
---|---|
Authors: | Youn, Hyewon ; Gu, Zheng |
Published in: |
Tourism and hospitality research : the surrey quarterly review. - London [u.a.] : Sage Publ., ISSN 1467-3584, ZDB-ID 2249125-9. - Vol. 10.2010, 3, p. 171-187
|
Subject: | Frühwarnsystem | Early warning system | Prognose | Forecast | Insolvenz | Insolvency | Gastronomie | Restaurant industry | Betriebliche Kennzahl | Financial ratio | Neuronale Netze | Neural networks | Regressionsanalyse | Regression analysis | USA | United States |
-
Corporate failure prediction : Malaysia's emerging market
Bee, Thai Siew, (2013)
-
Assessing corporate financial distress in Malaysia
Zulkarnain, M. S., (2004)
-
Twenty-five years of the Taffler z-score model : does it really have predictive ability?
Agarwal, Vineet, (2007)
- More ...
-
Youn, Hyewon, (2010)
-
Youn, Hyewon, (2010)
-
The Impact of the Recent Recession on U.S. Lodging Firms: An Examination Based on Ratio Analysis
Youn, Hyewon, (2010)
- More ...