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METHODS TO PREVENT FORGERY OF ACCOUNTING DATA

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F18%3A00326900" target="_blank" >RIV/68407700:21220/18:00326900 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21630/18:00326900

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    METHODS TO PREVENT FORGERY OF ACCOUNTING DATA

  • Original language description

    Accounting data are empirical data and, although it does not seem possible, empirical data is governed by certain laws. These patterns were described by American engineer Frank Benford, so they are called Benford's laws. Benford's laws describe the distribution of numerical frequencies in the first places of empirical data. Our article describes a model that uses Benford´s laws, statistical methods, different ways of selecting and evaluating data. Where the resulting output is the answer to the question of whether there is a consistency between the accounting data examined and Benford's laws. If accounting data is significantly different from Benford's laws, there is a suspicion that these data are not empirical. Data has been edited.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50206 - Finance

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • 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 6th INTERNATIONAL SCIENTIFIC CONFERENCE IFRS: Global Rules & Local Use

  • ISBN

    978-80-906585-7-8

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    333-340

  • Publisher name

    Anglo-americká vysoká škola, z.ú.

  • Place of publication

  • Event location

    Praha

  • Event date

    Oct 11, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000461826900029