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Tag: Benfords

  • An Introduction to Benford’s Law, Berger & Hill 2015, Princeton, Fraud Detection

    An Introduction to Benford’s Law, Berger & Hill 2015, Princeton, Fraud Detection



    An Introduction to Benford’s Law, Berger & Hill 2015, Princeton, Fraud Detection

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    Benford’s Law is a mathematical principle that states that in many sets of numerical data, the frequency of occurrence of the first digit is not evenly distributed. Instead, numbers are more likely to start with a lower digit, such as 1, than with a higher digit, such as 9. This counterintuitive pattern has been used in various fields, including fraud detection.

    In their 2015 book “An Introduction to Benford’s Law,” authors Berger and Hill explore the applications of this law in detecting fraudulent activities. By analyzing financial data, they demonstrate how deviations from Benford’s Law can indicate potential fraud or manipulation. For example, if a company’s financial statements show an unusually high frequency of numbers starting with a certain digit, it may raise suspicions of fraudulent reporting.

    Princeton University Press published this comprehensive guide to Benford’s Law, providing readers with the tools and techniques to apply this mathematical concept in real-world scenarios. By understanding the principles behind this law, individuals and organizations can enhance their fraud detection capabilities and safeguard against financial misconduct.
    #Introduction #Benfords #Law #Berger #Hill #Princeton #Fraud #Detection

  • Benford’s Law: Theory, The General Law Of Relative Quantities, And Forensic Fraud Detection Applications

    Benford’s Law: Theory, The General Law Of Relative Quantities, And Forensic Fraud Detection Applications


    Price: $55.73
    (as of Dec 24,2024 12:35:45 UTC – Details)




    ASIN ‏ : ‎ B00NXJV87Y
    Publisher ‏ : ‎ World Scientific (August 21, 2014)
    Publication date ‏ : ‎ August 21, 2014
    Language ‏ : ‎ English
    File size ‏ : ‎ 30315 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 674 pages

    Customers say

    Customers find the narrative style clear and concise. They appreciate the refreshing new approach and clear presentation of mathematics. The pacing is described as good and technically sound. Readers describe the book as reader-friendly and entertaining at times.

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    Benford’s Law, also known as the first-digit law, is a mathematical principle that describes the frequency distribution of leading digits in numerical datasets. This law states that in many real-life datasets, the probability of a number starting with a specific digit is not uniform, but instead follows a logarithmic distribution.

    The general law of relative quantities, as described by Benford’s Law, can be expressed by the equation:

    P(d) = log10(1 + 1/d)

    where P(d) is the probability that a number starts with the digit d (ranging from 1 to 9).

    Benford’s Law has gained popularity in forensic accounting and fraud detection due to its ability to detect anomalies in financial data. In fraudulent datasets, numbers are often manipulated to achieve a desired outcome, leading to a deviation from the expected distribution predicted by Benford’s Law. By analyzing the leading digits of financial statements, tax returns, and other numerical datasets, forensic accountants can identify potential red flags and investigate further for signs of fraud.

    One of the key applications of Benford’s Law in fraud detection is the identification of “Benford’s outliers,” which are numbers that deviate significantly from the expected distribution. These outliers may indicate manipulated data, intentional rounding, or other fraudulent activities.

    Overall, Benford’s Law serves as a powerful tool for detecting anomalies in numerical datasets and has been widely used in forensic accounting, auditing, and investigative analysis. By understanding the theory behind Benford’s Law and applying it in practice, professionals can improve their ability to detect financial irregularities and protect against fraud.
    #Benfords #Law #Theory #General #Law #Relative #Quantities #Forensic #Fraud #Detection #Applications

  • Benford’s Law: Applications for Forensic Accounting, Auditing, and Fraud Detection

    Benford’s Law: Applications for Forensic Accounting, Auditing, and Fraud Detection


    Price: $84.00 – $55.19
    (as of Dec 24,2024 03:25:29 UTC – Details)




    ASIN ‏ : ‎ 1118152859
    Publisher ‏ : ‎ Wiley; 1st edition (April 24, 2012)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 352 pages
    ISBN-10 ‏ : ‎ 9781118152850
    ISBN-13 ‏ : ‎ 978-1118152850
    Item Weight ‏ : ‎ 1.71 pounds
    Dimensions ‏ : ‎ 7.55 x 1.25 x 10.3 inches

    Customers say

    Customers find the book well-written with a good amount of context and background information. They appreciate the author’s skill in juxtaposing ideas from various sources and delivering a compelling narrative that offers new ways of looking at their work. The book provides practical applications and interpretations for theory and day-to-day use, providing an incredible set of tools. Many customers consider it a valuable resource and Nigrini’s best work.

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    Benford’s Law is a mathematical principle that states that in many sets of numerical data, the leading digit is more likely to be smaller. This law has important applications in forensic accounting, auditing, and fraud detection.

    Forensic accountants can use Benford’s Law to detect irregularities in financial data. By analyzing the distribution of leading digits in a set of numbers, forensic accountants can identify potential manipulation or fraud. If the data deviates significantly from the expected distribution according to Benford’s Law, it may indicate that the numbers have been altered or falsified.

    Auditors can also benefit from using Benford’s Law as a tool to detect errors or fraud in financial statements. By applying the principle to the financial data they are examining, auditors can quickly identify anomalies that may require further investigation. This can help auditors uncover inaccuracies or inconsistencies that may have been overlooked through traditional auditing methods.

    In fraud detection, Benford’s Law can be a valuable tool for identifying suspicious patterns in financial transactions. By analyzing transactional data using Benford’s Law, investigators can pinpoint transactions that may be fraudulent or manipulated. This can help organizations prevent and detect fraudulent activity before it causes significant financial harm.

    Overall, Benford’s Law provides a powerful and reliable method for analyzing numerical data in forensic accounting, auditing, and fraud detection. By understanding and applying this law, professionals in these fields can enhance their ability to uncover discrepancies, errors, and fraud, ultimately leading to more accurate and reliable financial reporting.
    #Benfords #Law #Applications #Forensic #Accounting #Auditing #Fraud #Detection

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