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Robust neural modeling for the cross-sectional analysis of accounting information · Study

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ArticleRobust neural modeling for the cross-sectional analysis of accounting information

Manuel Landajo2006

Article2006

Robust neural modeling for the cross-sectional analysis of accounting information

Manuel Landajo · Javier de Andrés Suárez · Pedro Tedde de Lorca

33 citations·0/0 files stored·European Journal of Operational Research

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Forecasting Techniques and Applications Neural Networks and Applications Financial Distress and Bankruptcy Prediction

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References

1997A Model Selection Approach to Real-Time Macroeconomic Forecasting Using Linear Models and Artificial Neural Networks 1987The Analysis and Use of Financial Ratios: A Review Article 2004Prediction of commercial bank failure via multivariate statistical analysis of financial structures: The Turkish case 1979Methodological issues in the use of financial ratios 1982METHODOLOGICAL IMPLICATIONS OF NON‐NORMALLY DISTRIBUTED FINANCIAL RATIOS 1980SOME BASIC PROPERTIES OF ACCOUNTING RATIOS 2004Forecasting business profitability by using classification techniques: A comparative analysis based on a Spanish case 1998A hybrid intelligent system for predicting bank holding structures

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Year2006

Typearticle

Published2006-02-22

VenueEuropean Journal of Operational Research

ISSN-L0377-2217

Languageen

Citations33

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.ejor.2005.10.064

openalex_workW2017064439

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