title: Statistical estimation of corruption indicators in the firm
metadata.name: dc.contributor.author
metadata.value: Malafeyev, Oleg
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Pichugin, Yuri
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2016-10-11T08:53:53Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2016-10-11T08:53:53Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2016-06-16
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: O.A. Malafeyev, Y.A. Pichugin,  Statistical estimation of corruption indicators in the firm, Applied Mathematical Sciences, Vol. 10, Iss. 41-44, 2016, P. 2065-2073
metadata.lang: en_GB
metadata.name: dc.identifier.issn
metadata.value: 1312885X
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/5498
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: 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
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: HIKARI Ltd
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Corruption; Statistical estimation
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Statistical estimation of corruption indicators in the firm
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: malafeyevAMS41-44-2016.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/5498/1/malafeyevAMS41-44-2016.pdf
resources.format: Adobe PDF
resources.description: Article "Statistical Estimation of Corruption Indicators in the Firm"
resources.size: 225,87 kB