Polygraph Test Results Assessment by Regression Analysis Methods
<p>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 cla...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
MGTU im. N.È. Baumana
2014-01-01
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| Series: | Nauka i Obrazovanie |
| Subjects: | |
| Online Access: | http://technomag.edu.ru/jour/article/view/704 |
| _version_ | 1811254852583424000 |
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| author | K. A. Leontiev S. D. Panin Yu. I. Kholodniy |
| author_facet | K. A. Leontiev S. D. Panin Yu. I. Kholodniy |
| author_sort | K. A. Leontiev |
| collection | DOAJ |
| description | <p>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.</p><p>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.</p><p>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.</p> |
| first_indexed | 2024-04-12T17:14:56Z |
| format | Article |
| id | doaj.art-55dde05d032740a6865d8068f075be93 |
| institution | Directory Open Access Journal |
| issn | 1994-0408 |
| language | Russian |
| last_indexed | 2024-04-12T17:14:56Z |
| publishDate | 2014-01-01 |
| publisher | MGTU im. N.È. Baumana |
| record_format | Article |
| series | Nauka i Obrazovanie |
| spelling | doaj.art-55dde05d032740a6865d8068f075be932022-12-22T03:23:41ZrusMGTU im. N.È. BaumanaNauka i Obrazovanie1994-04082014-01-0101023024310.7463/1014.0728906704Polygraph Test Results Assessment by Regression Analysis MethodsK. A. Leontiev0S. D. Panin1Yu. I. Kholodniy2Bauman Moscow State Technical UniversityBauman Moscow State Technical UniversityBauman Moscow State Technical University<p>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.</p><p>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.</p><p>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.</p>http://technomag.edu.ru/jour/article/view/704weight coefficientspolygraphlogistic regression |
| spellingShingle | K. A. Leontiev S. D. Panin Yu. I. Kholodniy Polygraph Test Results Assessment by Regression Analysis Methods Nauka i Obrazovanie weight coefficients polygraph logistic regression |
| title | Polygraph Test Results Assessment by Regression Analysis Methods |
| title_full | Polygraph Test Results Assessment by Regression Analysis Methods |
| title_fullStr | Polygraph Test Results Assessment by Regression Analysis Methods |
| title_full_unstemmed | Polygraph Test Results Assessment by Regression Analysis Methods |
| title_short | Polygraph Test Results Assessment by Regression Analysis Methods |
| title_sort | polygraph test results assessment by regression analysis methods |
| topic | weight coefficients polygraph logistic regression |
| url | http://technomag.edu.ru/jour/article/view/704 |
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