polygraph test results assessment by regression analysis methods

Clicks: 180
ID: 253897
2014
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Abstract

The paper considers a problem of defining the importance of asked questions for the examinee under judicial and psychophysiological polygraph examination by methods of mathematical statistics. It offers the classification algorithm based on the logistic regression as an optimum Bayesian classifier, considering weight coefficients of information for the polygraph-recorded physiological parameters with no condition for independence of the measured signs.

Actually, binary classification is executed by results of polygraph examination with preliminary normalization and standardization of primary results, with check of a hypothesis that distribution of obtained data is normal, as well as with calculation of coefficients of linear regression between input values and responses by method of maximum likelihood. Further, the logistic curve divided signs into two classes of the "significant" and "insignificant" type.

Efficiency of model is estimated by means of the ROC analysis (Receiver Operator Characteristics). It is shown that necessary minimum sample has to contain results of 45 measurements at least. This approach ensures a reliable result provided that an expert-polygraphologist possesses sufficient qualification and follows testing techniques.

Reference Key
leontiev2014naukapolygraph Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;K. A. Leontiev;S. D. Panin;Yu. I. Kholodniy
Journal BMJ open
Year 2014
DOI
10.7463/1014.0728906
URL
http://technomag.edu.ru/jour/article/view/704
Keywords
applied mechanics computer hardwaremechanics of engineering

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