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Benfords Law Theory The General Law Of Relative Quantities And Forensic Fraud Detection Applications Kossovsky

  • SKU: BELL-57765844
Benfords Law Theory The General Law Of Relative Quantities And Forensic Fraud Detection Applications Kossovsky
$ 31.00 $ 45.00 (-31%)

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Benfords Law Theory The General Law Of Relative Quantities And Forensic Fraud Detection Applications Kossovsky instant download after payment.

Publisher: WSPC
File Extension: EPUB
File size: 28.04 MB
Pages: 672
Author: KOSSOVSKY, ALEX ELY
ISBN: 9789814583701, 9789814583688, 9814583685, 9814583707
Language: English
Year: 2015

Product desciption

Benfords Law Theory The General Law Of Relative Quantities And Forensic Fraud Detection Applications Kossovsky by Kossovsky, Alex Ely 9789814583701, 9789814583688, 9814583685, 9814583707 instant download after payment.

Contrary to common intuition that all digits should occur randomly with equal chances in real data, empirical examinations consistently show that not all digits are created equal, but rather that low digits such as {1, 2, 3} occur much more frequently than high digits such as {7, 8, 9} in almost all data types, such as those relating to geology, chemistry, astronomy, physics, and engineering, as well as in accounting, financial, econometrics, and demographics data sets. This intriguing digital phenomenon is known as Benford's Law.

This book gives a comprehensive and in-depth account of all the theoretical aspects, results, causes and explanations of Benford's Law, with a strong emphasis on the connection to real-life data and the physical manifestation of the law. In addition to such a bird's eye view of the digital phenomenon, the conceptual distinctions between digits, numbers, and quantities are explored; leading to the key finding that the phenomenon is actually quantitative in nature; originating from the fact that in extreme generality, nature creates many small quantities but very few big quantities, corroborating the motto "small is beautiful", and that therefore all this is applicable just as well to data written in the ancient Roman, Mayan, Egyptian, and other digit-less civilizations.

Fraudsters are typically not aware of this digital pattern and tend to invent numbers with approximately equal digital frequencies. The digital analyst can easily check reported data for compliance with this digital law, enabling the detection of tax evasion, Ponzi schemes, and other financial scams. The forensic fraud detection section in this book is written in a very concise and reader-friendly style; gathering all known methods and standards in the accounting and auditing industry; summarizing and fusing them into a singular coherent whole; and can be understood without deep knowledge in statistical theory or advanced mathematics. In addition, a digital algorithm is

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