rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Modern Benford's law
    sub title: state of the art techniques for audit and compliance professionals
  name:
    name part: McCarville, Daniel J.
    role:
      role term: creator
    role:
      role term: author
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2026
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (160 pages) : illustrations (black and white).
  abstract: "Benford's Law offers a powerful, data-driven approach to anomaly detection. Discovered 150 years ago, it wasn't until the 1990s that auditors began harnessing its potential for identifying irregularities in financial data. Today, the Benford's Law community spans a wide range of professions and academic disciplines. This book provides the latest research-based techniques packaged for ready usage by auditors and audit analytics professionals. Discover how to use Benford's Law in continuous monitoring and pinpoint non-compliant vendors, accounts or other groups. Visual examples demonstrate how to identify and interpret the most common patterns Benford's Law surfaces. Auditors and assurance professionals will benefit from clear, practical explanations of advanced methods, making it easier to integrate these techniques into their workflows. Meanwhile, analytics and quantitative experts will find a rich toolkit of new techniques to enhance their capabilities. Whether you're new to Benford's Law or looking to deepen your expertise, this book equips you with the tools to transform how you detect anomalies in data"-- Provided by publisher.
  table of contents: The story of Benford's law -- The basics of Benford's law -- Common results -- with graphs -- Advanced case study -- Goodness-of-fit scores -- Benford-like distribution -- Finding high-risk groups -- Time series applications -- Benford's law and machine learning -- Beyond base 10 -- Professional practice and Benford's law -- Case study : IT incident management -- Advanced case study.
  note: Daniel J. McCarville.
  note: Includes bibliographical references.
  subject:
    topic: Benford's law (Mathematics)
  subject:
    topic: Distribution (Probability theory)
  subject:
    topic: Distribution (Théorie des probabilités)
  subject:
    topic: distribution (statistics-related concept)
  subject:
    topic: Auditing
    topic: Statistical methods
  subject:
    topic: Distribution (Probability theory)
  classification: QA273.6 .M24 2026eb
  classification: 657.45015195
  related item:
    title info:
      title: Security, audit and leadership series
  related item:
    title info:
      title: Modern Benford's law
    name:
      name part: McCarville, Daniel J.
    origin info:
      publisher: Boca Raton : CRC Press, 2026
      edition: First edition.
    identifier: (DLC) 2025044677
    identifier: (OCoLC)1541765151
  identifier: 9781003562238
  identifier: 100356223X
  identifier: 9781040548370
  identifier: 1040548377
  identifier: 9781040647660
  identifier: 1040647669
  identifier: 9781032910390
  identifier: 1032910399
  identifier: 9781032912622
  identifier: 1032912626
  identifier: 9781003562238 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 260223
    record change date: 20260406155019.5
    record identifier: in00005777909
    language of cataloging:
      language term: eng