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Probability-Based Validation of the Forensic Method "Microscopic Analysis of Textile Fibers"

https://doi.org/10.30764/1819-2785-2019-14-2-92-99

Abstract

 The results of validation of the method “Microscopic analysis of textile fibers” used in forensic fiber examination are presented. An attempt is made to estimate reliability of testing of this method numerically by the proportions of right and false results and credibility ratio.

The testing method under consideration consists in establishing a set of external characteristics of natural and chemical textile fibers: color, peculiarities of coloration, morphological features, presence/absence of a matting agent. These generic characteristics are used in forensic textile analysis. 

As the objects of testing fiber samples from comparative collection of a forensic fiber laboratory were used. Four experts participated in the experiment independently examining eleven fiber samples by eleven external characteristics for a week.

A low (2,2 %) rate of false results in relation to the total number of tests was established as well as the low (less than 3,0 %) rate of each expert’s false results. The probability of the right results of characteristics’ assessment is 30 times higher than the probability of false results.

The results of the experiment permit the conclusion that the method is suitable to be used in forensic fiber examination when dealing with various tasks: classification, identification, situational and diagnostic.  

About the Authors

S. A. Smirnova
The Russian Federal Centre of Forensic Science of the Russian Federation Ministry of Justice; Peoples’ Friendship University of Russia (RUDN University)
Russian Federation

Smirnova Svetlana Arkad’evna – Doctor of Law, Professor, Distinguished Lawyer of the Russian Federation, Distinguished Scholar of the Russian Federation, Director of the Russian Federal Centre of Forensic Science of the Russian Ministry of Justice, Head of the Department of Forensic Expert Activity, Law Institute of RUDN University

Moscow 109028;  Moscow 117198



G. I. Bebeshko
The Russian Federal Centre of Forensic Science of the Russian Federation Ministry of Justice
Russian Federation

Bebeshko Galina Ivanovna – Doctor of Engineering, Principal Researcher at the Department of Innovations in the Practice of Forensic Science 

Moscow 109028



I. P. Lyubetskaya
The Russian Federal Centre of Forensic Science of the Russian Federation Ministry of Justice
Russian Federation

Lyubetskaya Irina Petrovna – Leading Researcher at the Department of Innovations in the Practice of Forensic Science 

Moscow 109028



G. G. Omel’yanyuk
The Russian Federal Centre of Forensic Science of the Russian Federation Ministry of Justice; Peoples’ Friendship University of Russia (RUDN University)
Russian Federation

Omel’yanyuk Georgii Georgievich – Doctor of Law, Associate Professor, Deputy Director of the Russian Federal Centre of Forensic Science of the Russian Ministry of Justice; Professor of the Department of Forensic Expert Activity Law Institute of RUDN University

Moscow 109028;  Moscow 117198



A. I. Usov
The Russian Federal Centre of Forensic Science of the Russian Federation Ministry of Justice; Peoples’ Friendship University of Russia (RUDN University); Bauman Moscow State Technical University (BMSTU)
Russian Federation

Usov Aleksandr Ivanovich – Doctor of Law, Professor, First Deputy Director of the Russian Federal Centre of Forensic Science of the Russian Ministry of Justice; Professor of the Department of Forensic Expert Activity, Law Institute of RUDN University; Professor of the Jurisprudence, Intellectual Property and Forensic Science Chair, Bauman Moscow State Technical University, member of AAFS

Moscow 109028;  Moscow 117198;  Moscow 105055



References

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For citations:


Smirnova S.A., Bebeshko G.I., Lyubetskaya I.P., Omel’yanyuk G.G., Usov A.I. Probability-Based Validation of the Forensic Method "Microscopic Analysis of Textile Fibers". Theory and Practice of Forensic Science. 2019;14(2):92-99. (In Russ.) https://doi.org/10.30764/1819-2785-2019-14-2-92-99

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ISSN 1819-2785 (Print)
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