An Empirical Study on Identification of False Accounting Information of Listed Companies -Based on the Comparison between Logistic Regression Model and Multiple Eigenvalues Detection Model

Abstract:

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In this study, multiple eigenvalues detection model has been put forward and empirical analysis and comparison between logistic regression model and multiple eigenvalues detection model has been conducted in the same sample on the basis of overall data. The results have showed the characteristics of accuracy, stability or extensive adaptability of multiple eigenvalues detection model in detecting false accounting information.

Info:

Periodical:

Advanced Materials Research (Volumes 268-270)

Edited by:

Feng Xiong

Pages:

753-758

DOI:

10.4028/www.scientific.net/AMR.268-270.753

Citation:

A. H. Guan "An Empirical Study on Identification of False Accounting Information of Listed Companies -Based on the Comparison between Logistic Regression Model and Multiple Eigenvalues Detection Model", Advanced Materials Research, Vols. 268-270, pp. 753-758, 2011

Online since:

July 2011

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$35.00

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