Journal section ACTUAL ISSUES OF THE ECONOMY, CONTROL AND TECHNOLOGY
About use of mathematical model with information support of decision-making in Russian Penal Service
In our work it was taken steps of canonical formulating problems to adopt administrative
decision in Criminal and Executive system based on establishing control over employees
discipline engaged in CES. As a formal mathematic apparatus mathematic statistical
methods were used in particular correlative test and plural regress analyze of obtain
equation showed the presence of multicorrelative of parameters in them. As a criterion
allowing to choose factors which are parts of model maximization of particular correlative
factors including in model was chosen.
Keywords: administrative decision; correlative test and plural regress analyze; multicorrelative of parameters
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the head of the Engineering and Economics faculty of the
Vologda Institute of Law and Economics of the Federal Penal Service of Russia,
candidate of technical sciences, docent
, e-mail aleksei_babkin@mail.ru
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the head of the Informatics and Mathematics chair of the Vologda
Institute of Law and Economics of the Penal System of Russia, candidate of
pedagogical sciences
, e-mail Aleksei_babkin@mail.ru
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the chief of laboratory of Scientific
research institute of information technology of Federal
Agency of execution of punishments of Russia, the candidate
of physical and mathematical sciences, the lieutenant
colonel of internal service.
, e-mail aleksei_babkin@mail.ru
1 Vozmozhna situacija, kogda takih operatorov (operatora),
perevodjawih mnozhestvo iz odnogo sostojanija v drugoe, v
nastojawee vremja ne suwestvuet.
2 V rabote Ju.P. Adlera (Adler Ju.P., Markova E.V., Granovskij
Ju.V. Planirovanie jeksperimenta pri poiske optimal’nyh
uslovij, M., 1976. S. 54) prjamo ukazano o nevozmozhnosti
vkljuchenija v model’ zavisimyh faktorov, to est’ imejuwih
korreljaciju s drugimi faktorami.
3 Poskol’ku korreljacija dostatochno slabaja, to imeet smysl
provesti analiz na nalichie zhenwin v osobenno kriminogennyh
gruppah sotrudnikov UIS.
4 Sm.: Ajvazjan S.A., Mhitarjan V.S. Prikladnaja statistika i
osnovy jekonometriki. M., 1998. S. 414.
5 Sm.: Rajskaja N.N., Sergienko Ja.V., Frenkel’ A.A.
Jekonometricheskoe modelirovanie zavisimosti investicionnoj
privlekatel’nosti regionov // Voprosy statistiki. 2007. № 10.
S. 50.
6 Sm.: Ajvazjan S.A., Mhitarjan V.S. Prikladnaja statistika i
osnovy jekonometriki. S. 654.
7 Sm.: Svetun’kov S.G. Jekonometricheskie metody
prognozirovanija sprosa. M., 1993.
8 Sm.: Tam zhe.
9 Kolichestvo opredeljaetsja tem, chto istoricheski
informacionnyj resurs FSIN Rossii byl chast’ju resursa MVD
Rossii.
perevodjawih mnozhestvo iz odnogo sostojanija v drugoe, v
nastojawee vremja ne suwestvuet.
2 V rabote Ju.P. Adlera (Adler Ju.P., Markova E.V., Granovskij
Ju.V. Planirovanie jeksperimenta pri poiske optimal’nyh
uslovij, M., 1976. S. 54) prjamo ukazano o nevozmozhnosti
vkljuchenija v model’ zavisimyh faktorov, to est’ imejuwih
korreljaciju s drugimi faktorami.
3 Poskol’ku korreljacija dostatochno slabaja, to imeet smysl
provesti analiz na nalichie zhenwin v osobenno kriminogennyh
gruppah sotrudnikov UIS.
4 Sm.: Ajvazjan S.A., Mhitarjan V.S. Prikladnaja statistika i
osnovy jekonometriki. M., 1998. S. 414.
5 Sm.: Rajskaja N.N., Sergienko Ja.V., Frenkel’ A.A.
Jekonometricheskoe modelirovanie zavisimosti investicionnoj
privlekatel’nosti regionov // Voprosy statistiki. 2007. № 10.
S. 50.
6 Sm.: Ajvazjan S.A., Mhitarjan V.S. Prikladnaja statistika i
osnovy jekonometriki. S. 654.
7 Sm.: Svetun’kov S.G. Jekonometricheskie metody
prognozirovanija sprosa. M., 1993.
8 Sm.: Tam zhe.
9 Kolichestvo opredeljaetsja tem, chto istoricheski
informacionnyj resurs FSIN Rossii byl chast’ju resursa MVD
Rossii.
