Benford's Law and Opendata portal of Ministry of Finance of Czech Republic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F15%3A39900911" target="_blank" >RIV/00216275:25530/15:39900911 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Benford's Law and Opendata portal of Ministry of Finance of Czech Republic

Popis výsledku v původním jazyce

The intuitive mind is that, in large sets of numbers, each integer from 1 through 9 has the same probalities of occuring on the first digit of numbers. But Benfords Law reports that the digit 1 leads approximately 30 % of the time and each successive digit is less common, with 9 occurring less than 5 % of the time. The main goal of our article is to aply Benford's Law for analysing Finance Operation datasets from Opendata portal of Ministry of Finance of Czech Republic. A chi-square goodness of fit testfor testing null hypothesis is realised and verificated, that data follow the Benford distribution. Further the finance operation is compared in each of the years 2010-2014 from the perspective of Benford's law. There will be also compared different approaches to the analysis of the tested data and compared the results of different testing methods, for example Pearson's chi-squared test of goodness of fit and Z statistics. Benfords Law by the current theory is considered to be a powerfu

Název v anglickém jazyce

Benford's Law and Opendata portal of Ministry of Finance of Czech Republic

Popis výsledku anglicky

The intuitive mind is that, in large sets of numbers, each integer from 1 through 9 has the same probalities of occuring on the first digit of numbers. But Benfords Law reports that the digit 1 leads approximately 30 % of the time and each successive digit is less common, with 9 occurring less than 5 % of the time. The main goal of our article is to aply Benford's Law for analysing Finance Operation datasets from Opendata portal of Ministry of Finance of Czech Republic. A chi-square goodness of fit testfor testing null hypothesis is realised and verificated, that data follow the Benford distribution. Further the finance operation is compared in each of the years 2010-2014 from the perspective of Benford's law. There will be also compared different approaches to the analysis of the tested data and compared the results of different testing methods, for example Pearson's chi-squared test of goodness of fit and Z statistics. Benfords Law by the current theory is considered to be a powerfu

Druh

D - Stať ve sborníku

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 33rd International conference Mathematical Methods in Economics

ISBN

978-80-261-0539-8

ISSN

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e-ISSN

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Počet stran výsledku

676

Strana od-do

671

Název nakladatele

Západočeská univerzita v Plzni

Místo vydání

Plzeň

Místo konání akce

Cheb

Datum konání akce

9. 9. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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