Benford's Law: Applications for Forensic Accounting, Auditing, and Fraud Detection
A powerful new tool for all forensic accountants, or anyone who analyzes data that may have been alteredBenford's Law gives the expected patterns of the digits in the numbers in tabulated data such as town and city populations or Madoff's fictitious portfolio returns. Those digits, in unal...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
[s.l.]
Wiley
2012
|
Ausgabe: | 1. Aufl. |
Schlagworte: | |
Online-Zugang: | HWR01 |
Zusammenfassung: | A powerful new tool for all forensic accountants, or anyone who analyzes data that may have been alteredBenford's Law gives the expected patterns of the digits in the numbers in tabulated data such as town and city populations or Madoff's fictitious portfolio returns. Those digits, in unaltered data, will not occur in equal proportions; there is a large bias towards the lower digits, so much so that nearly one-half of all numbers are expected to start with the digits 1 or 2. These patterns were originally discovered by physicist Frank Benford in the early 1930s, and have since been found to apply to all tabulated data. Mark J. Nigrini has been a pioneer in applying Benford's Law to auditing and forensic accounting, even before his groundbreaking 1999 Journal of Accountancy article introducing this useful tool to the accounting world. In Benford's Law, Nigrini shows the widespread applicability of Benford's Law and its practical uses to detect fraud, errors, and other anomalies. Explores primary, associated, and advanced tests, all described with data sets that include corporate payments data and election dataIncludes ten fraud detection studies, including vendor fraud, payroll fraud, due diligence when purchasing a business, and tax evasionCovers financial statement fraud, with data from Enron, AIG, and companies that were the target of hedge fund short salesLooks at how to detect Ponzi schemes, including data on Madoff, Waxenberg, and moreExamines many other applications, from the Clinton tax returns and the charitable gifts of Lehman Brothers to tax evasion and number inventionBenford's Lawhas 250 figures and uses 50 interesting authentic and fraudulent real-world data sets to explain both theory and practice, and concludes with an agenda and directions for future research. The companion website adds additional information and resources. MARK J. NIGRINI, PhD++ |
Beschreibung: | 1 Online-Ressource |
ISBN: | 1118152859 |
Internformat
MARC
LEADER | 00000nmm a2200000 c 4500 | ||
---|---|---|---|
001 | BV041228400 | ||
003 | DE-604 | ||
005 | 20170427 | ||
007 | cr|uuu---uuuuu | ||
008 | 130820s2012 |||| o||u| ||||||eng d | ||
020 | |a 1118152859 |9 1-11-815285-9 | ||
035 | |a (ZDB-22-CAN)874873 | ||
035 | |a (OCoLC)992538161 | ||
035 | |a (DE-599)GBV752262416 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-2070s | ||
082 | 0 | |a 363.25963 | |
100 | 1 | |a Nigrini, Mark |e Verfasser |4 aut | |
245 | 1 | 0 | |a Benford's Law |b Applications for Forensic Accounting, Auditing, and Fraud Detection |
250 | |a 1. Aufl. | ||
264 | 1 | |a [s.l.] |b Wiley |c 2012 | |
300 | |a 1 Online-Ressource | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
520 | 1 | |a A powerful new tool for all forensic accountants, or anyone who analyzes data that may have been alteredBenford's Law gives the expected patterns of the digits in the numbers in tabulated data such as town and city populations or Madoff's fictitious portfolio returns. Those digits, in unaltered data, will not occur in equal proportions; there is a large bias towards the lower digits, so much so that nearly one-half of all numbers are expected to start with the digits 1 or 2. These patterns were originally discovered by physicist Frank Benford in the early 1930s, and have since been found to apply to all tabulated data. Mark J. Nigrini has been a pioneer in applying Benford's Law to auditing and forensic accounting, even before his groundbreaking 1999 Journal of Accountancy article introducing this useful tool to the accounting world. In Benford's Law, Nigrini shows the widespread applicability of Benford's Law and its practical uses to detect fraud, errors, and other anomalies. Explores primary, associated, and advanced tests, all described with data sets that include corporate payments data and election dataIncludes ten fraud detection studies, including vendor fraud, payroll fraud, due diligence when purchasing a business, and tax evasionCovers financial statement fraud, with data from Enron, AIG, and companies that were the target of hedge fund short salesLooks at how to detect Ponzi schemes, including data on Madoff, Waxenberg, and moreExamines many other applications, from the Clinton tax returns and the charitable gifts of Lehman Brothers to tax evasion and number inventionBenford's Lawhas 250 figures and uses 50 interesting authentic and fraudulent real-world data sets to explain both theory and practice, and concludes with an agenda and directions for future research. The companion website adds additional information and resources. MARK J. NIGRINI, PhD++ | |
650 | 0 | 7 | |a Betrug |0 (DE-588)4006249-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Wirtschaftsprüfung |0 (DE-588)4066505-7 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Rechnungslegung |0 (DE-588)4128343-0 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Benford-Gesetz |0 (DE-588)4959372-9 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Betrug |0 (DE-588)4006249-1 |D s |
689 | 0 | 1 | |a Rechnungslegung |0 (DE-588)4128343-0 |D s |
689 | 0 | 2 | |a Wirtschaftsprüfung |0 (DE-588)4066505-7 |D s |
689 | 0 | 3 | |a Benford-Gesetz |0 (DE-588)4959372-9 |D s |
689 | 0 | |8 1\p |5 DE-604 | |
912 | |a ZDB-22-CAN | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-026202819 | ||
883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
966 | e | |u http://hwr.ciando.com/book/index.cfm?bok_id=874873 |l HWR01 |p ZDB-22-CAN |x Aggregator |3 Volltext |
Datensatz im Suchindex
_version_ | 1804150668822315008 |
---|---|
any_adam_object | |
author | Nigrini, Mark |
author_facet | Nigrini, Mark |
author_role | aut |
author_sort | Nigrini, Mark |
author_variant | m n mn |
building | Verbundindex |
bvnumber | BV041228400 |
collection | ZDB-22-CAN |
ctrlnum | (ZDB-22-CAN)874873 (OCoLC)992538161 (DE-599)GBV752262416 |
dewey-full | 363.25963 |
dewey-hundreds | 300 - Social sciences |
dewey-ones | 363 - Other social problems and services |
dewey-raw | 363.25963 |
dewey-search | 363.25963 |
dewey-sort | 3363.25963 |
dewey-tens | 360 - Social problems and services; associations |
discipline | Soziologie |
edition | 1. Aufl. |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03442nmm a2200445 c 4500</leader><controlfield tag="001">BV041228400</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20170427 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">130820s2012 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1118152859</subfield><subfield code="9">1-11-815285-9</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-22-CAN)874873</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)992538161</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBV752262416</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-2070s</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">363.25963</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Nigrini, Mark</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Benford's Law</subfield><subfield code="b">Applications for Forensic Accounting, Auditing, and Fraud Detection</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1. Aufl.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[s.l.]</subfield><subfield code="b">Wiley</subfield><subfield code="c">2012</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1="1" ind2=" "><subfield code="a">A powerful new tool for all forensic accountants, or anyone who analyzes data that may have been alteredBenford's Law gives the expected patterns of the digits in the numbers in tabulated data such as town and city populations or Madoff's fictitious portfolio returns. Those digits, in unaltered data, will not occur in equal proportions; there is a large bias towards the lower digits, so much so that nearly one-half of all numbers are expected to start with the digits 1 or 2. These patterns were originally discovered by physicist Frank Benford in the early 1930s, and have since been found to apply to all tabulated data. Mark J. Nigrini has been a pioneer in applying Benford's Law to auditing and forensic accounting, even before his groundbreaking 1999 Journal of Accountancy article introducing this useful tool to the accounting world. In Benford's Law, Nigrini shows the widespread applicability of Benford's Law and its practical uses to detect fraud, errors, and other anomalies. Explores primary, associated, and advanced tests, all described with data sets that include corporate payments data and election dataIncludes ten fraud detection studies, including vendor fraud, payroll fraud, due diligence when purchasing a business, and tax evasionCovers financial statement fraud, with data from Enron, AIG, and companies that were the target of hedge fund short salesLooks at how to detect Ponzi schemes, including data on Madoff, Waxenberg, and moreExamines many other applications, from the Clinton tax returns and the charitable gifts of Lehman Brothers to tax evasion and number inventionBenford's Lawhas 250 figures and uses 50 interesting authentic and fraudulent real-world data sets to explain both theory and practice, and concludes with an agenda and directions for future research. The companion website adds additional information and resources. MARK J. NIGRINI, PhD++</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Betrug</subfield><subfield code="0">(DE-588)4006249-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Wirtschaftsprüfung</subfield><subfield code="0">(DE-588)4066505-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Rechnungslegung</subfield><subfield code="0">(DE-588)4128343-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Benford-Gesetz</subfield><subfield code="0">(DE-588)4959372-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Betrug</subfield><subfield code="0">(DE-588)4006249-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Rechnungslegung</subfield><subfield code="0">(DE-588)4128343-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Wirtschaftsprüfung</subfield><subfield code="0">(DE-588)4066505-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Benford-Gesetz</subfield><subfield code="0">(DE-588)4959372-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-22-CAN</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-026202819</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://hwr.ciando.com/book/index.cfm?bok_id=874873</subfield><subfield code="l">HWR01</subfield><subfield code="p">ZDB-22-CAN</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV041228400 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T00:42:35Z |
institution | BVB |
isbn | 1118152859 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-026202819 |
oclc_num | 992538161 |
open_access_boolean | |
owner | DE-2070s |
owner_facet | DE-2070s |
physical | 1 Online-Ressource |
psigel | ZDB-22-CAN |
publishDate | 2012 |
publishDateSearch | 2012 |
publishDateSort | 2012 |
publisher | Wiley |
record_format | marc |
spelling | Nigrini, Mark Verfasser aut Benford's Law Applications for Forensic Accounting, Auditing, and Fraud Detection 1. Aufl. [s.l.] Wiley 2012 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier A powerful new tool for all forensic accountants, or anyone who analyzes data that may have been alteredBenford's Law gives the expected patterns of the digits in the numbers in tabulated data such as town and city populations or Madoff's fictitious portfolio returns. Those digits, in unaltered data, will not occur in equal proportions; there is a large bias towards the lower digits, so much so that nearly one-half of all numbers are expected to start with the digits 1 or 2. These patterns were originally discovered by physicist Frank Benford in the early 1930s, and have since been found to apply to all tabulated data. Mark J. Nigrini has been a pioneer in applying Benford's Law to auditing and forensic accounting, even before his groundbreaking 1999 Journal of Accountancy article introducing this useful tool to the accounting world. In Benford's Law, Nigrini shows the widespread applicability of Benford's Law and its practical uses to detect fraud, errors, and other anomalies. Explores primary, associated, and advanced tests, all described with data sets that include corporate payments data and election dataIncludes ten fraud detection studies, including vendor fraud, payroll fraud, due diligence when purchasing a business, and tax evasionCovers financial statement fraud, with data from Enron, AIG, and companies that were the target of hedge fund short salesLooks at how to detect Ponzi schemes, including data on Madoff, Waxenberg, and moreExamines many other applications, from the Clinton tax returns and the charitable gifts of Lehman Brothers to tax evasion and number inventionBenford's Lawhas 250 figures and uses 50 interesting authentic and fraudulent real-world data sets to explain both theory and practice, and concludes with an agenda and directions for future research. The companion website adds additional information and resources. MARK J. NIGRINI, PhD++ Betrug (DE-588)4006249-1 gnd rswk-swf Wirtschaftsprüfung (DE-588)4066505-7 gnd rswk-swf Rechnungslegung (DE-588)4128343-0 gnd rswk-swf Benford-Gesetz (DE-588)4959372-9 gnd rswk-swf Betrug (DE-588)4006249-1 s Rechnungslegung (DE-588)4128343-0 s Wirtschaftsprüfung (DE-588)4066505-7 s Benford-Gesetz (DE-588)4959372-9 s 1\p DE-604 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Nigrini, Mark Benford's Law Applications for Forensic Accounting, Auditing, and Fraud Detection Betrug (DE-588)4006249-1 gnd Wirtschaftsprüfung (DE-588)4066505-7 gnd Rechnungslegung (DE-588)4128343-0 gnd Benford-Gesetz (DE-588)4959372-9 gnd |
subject_GND | (DE-588)4006249-1 (DE-588)4066505-7 (DE-588)4128343-0 (DE-588)4959372-9 |
title | Benford's Law Applications for Forensic Accounting, Auditing, and Fraud Detection |
title_auth | Benford's Law Applications for Forensic Accounting, Auditing, and Fraud Detection |
title_exact_search | Benford's Law Applications for Forensic Accounting, Auditing, and Fraud Detection |
title_full | Benford's Law Applications for Forensic Accounting, Auditing, and Fraud Detection |
title_fullStr | Benford's Law Applications for Forensic Accounting, Auditing, and Fraud Detection |
title_full_unstemmed | Benford's Law Applications for Forensic Accounting, Auditing, and Fraud Detection |
title_short | Benford's Law |
title_sort | benford s law applications for forensic accounting auditing and fraud detection |
title_sub | Applications for Forensic Accounting, Auditing, and Fraud Detection |
topic | Betrug (DE-588)4006249-1 gnd Wirtschaftsprüfung (DE-588)4066505-7 gnd Rechnungslegung (DE-588)4128343-0 gnd Benford-Gesetz (DE-588)4959372-9 gnd |
topic_facet | Betrug Wirtschaftsprüfung Rechnungslegung Benford-Gesetz |
work_keys_str_mv | AT nigrinimark benfordslawapplicationsforforensicaccountingauditingandfrauddetection |