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  • Search: subject:"Multi‐classification constrained‐covariance regression analysis"
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Subject
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Corporate collapse 3 Multiple discriminant analysis 3 Dual-classification scheme 2 Multi-classification constrained-covariance regression analysis 2 Multi-classification scheme 2 Multi-level modelling 2 Accounting 1 Business failures 1 Discriminant analysis 1 Diskriminanzanalyse 1 Financial ratios 1 Insolvency 1 Insolvenz 1 Modelling 1 Multi‐classification constrained‐covariance regression analysis 1 Regression analysis 1 Regressionsanalyse 1 Theorie 1 Theory 1 United States of America 1
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Article 3
Type of publication (narrower categories)
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research-article 2 Article in journal 1 Aufsatz in Zeitschrift 1
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English 3
Author
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Hossari, Ghassan 3
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International Journal of Accounting & Information Management 1 International Journal of Accounting and Information Management 1 International journal of accounting and information management 1
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Other ZBW resources 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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Multiple classification schemes for signalling corporate collapse
Hossari, Ghassan - In: International Journal of Accounting and Information … 22 (2014) 2, pp. 146-156
multi-classification constrained-covariance regression analysis. Findings – Based on a unified data set of 112 collapsed …
Persistent link: https://www.econbiz.de/10014759541
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Cover Image
Multiple classification schemes for signalling corporate collapses
Hossari, Ghassan - In: International journal of accounting and information … 22 (2014) 2, pp. 146-156
Persistent link: https://www.econbiz.de/10010378672
Saved in:
Cover Image
Optimising errors in signaling corporate collapse using MCCCRA
Hossari, Ghassan - In: International Journal of Accounting & Information Management 20 (2012) 3, pp. 300-316
Purpose – The purpose of this paper is to put forward an innovative approach for reducing the variation between Type I and Type II errors in the context of ratio‐based modeling of corporate collapse, without compromising the accuracy of the predictive model. Its contribution to the...
Persistent link: https://www.econbiz.de/10014759184
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