Paper Title:
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

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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