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

The result's identifiers

  • Result code in 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>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AE - Management, administration and clerical work

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 33rd International conference Mathematical Methods in Economics

  • ISBN

    978-80-261-0539-8

  • ISSN

  • e-ISSN

  • Number of pages

    676

  • Pages from-to

    671

  • Publisher name

    Západočeská univerzita v Plzni

  • Place of publication

    Plzeň

  • Event location

    Cheb

  • Event date

    Sep 9, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article