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Statistical estimation of corruption indicators in the firm. / Pichugin, Yu A.; Malafeyev, O. A.

In: Applied Mathematical Sciences, Vol. 10, No. 41-44, 01.01.2016, p. 2065-2073.

Research output: Contribution to journal › Article › peer-review

Harvard

Pichugin, YA & Malafeyev, OA 2016, 'Statistical estimation of corruption indicators in the firm', Applied Mathematical Sciences, vol. 10, no. 41-44, pp. 2065-2073. https://doi.org/10.12988/ams.2016.64141

APA

Pichugin, Y. A., & Malafeyev, O. A. (2016). Statistical estimation of corruption indicators in the firm. Applied Mathematical Sciences, 10(41-44), 2065-2073. https://doi.org/10.12988/ams.2016.64141

Vancouver

Pichugin YA, Malafeyev OA. Statistical estimation of corruption indicators in the firm. Applied Mathematical Sciences. 2016 Jan 1;10(41-44):2065-2073. https://doi.org/10.12988/ams.2016.64141

Author

Pichugin, Yu A. ; Malafeyev, O. A. / Statistical estimation of corruption indicators in the firm. In: Applied Mathematical Sciences. 2016 ; Vol. 10, No. 41-44. pp. 2065-2073.

BibTeX

@article{7b1e0fd5d40946fd9b854ca083238460,
title = "Statistical estimation of corruption indicators in the firm",
abstract = "A new statistical procedure of anti-corruption control of economic activity is proposed in the paper. The task of the firm's corruption checking is formulated in terms of statistical hypothesis testing. To make checking procedure more rigorous, it is proposed to formulate a hypothesis regarding the current, not the average data, as is customary in classical statistics.",
keywords = "Corruption, Statistical estimation",
author = "Pichugin, {Yu A.} and Malafeyev, {O. A.}",
year = "2016",
month = jan,
day = "1",
doi = "10.12988/ams.2016.64141",
language = "English",
volume = "10",
pages = "2065--2073",
journal = "Applied Mathematical Sciences",
issn = "1312-885X",
publisher = "Hikari Ltd.",
number = "41-44",

}

RIS

TY - JOUR

T1 - Statistical estimation of corruption indicators in the firm

AU - Pichugin, Yu A.

AU - Malafeyev, O. A.

PY - 2016/1/1

Y1 - 2016/1/1

N2 - A new statistical procedure of anti-corruption control of economic activity is proposed in the paper. The task of the firm's corruption checking is formulated in terms of statistical hypothesis testing. To make checking procedure more rigorous, it is proposed to formulate a hypothesis regarding the current, not the average data, as is customary in classical statistics.

AB - A new statistical procedure of anti-corruption control of economic activity is proposed in the paper. The task of the firm's corruption checking is formulated in terms of statistical hypothesis testing. To make checking procedure more rigorous, it is proposed to formulate a hypothesis regarding the current, not the average data, as is customary in classical statistics.

KW - Corruption

KW - Statistical estimation

UR - http://www.scopus.com/inward/record.url?scp=84983520399&partnerID=8YFLogxK

U2 - 10.12988/ams.2016.64141

DO - 10.12988/ams.2016.64141

M3 - Article

AN - SCOPUS:84983520399

VL - 10

SP - 2065

EP - 2073

JO - Applied Mathematical Sciences

JF - Applied Mathematical Sciences

SN - 1312-885X

IS - 41-44

ER -

ID: 36186851