Synopses & Reviews
Benford's law states that the leading digits of many data sets are not uniformly distributed from one through nine, but rather exhibit a profound bias. This bias is evident in everything from electricity bills and street addresses to stock prices, population numbers, mortality rates, and the lengths of rivers. Here, Steven Miller brings together many of the world's leading experts on Benford's law to demonstrate the many useful techniques that arise from the law, show how truly multidisciplinary it is, and encourage collaboration.
Beginning with the general theory, the contributors explain the prevalence of the bias, highlighting explanations for when systems should and should not follow Benford's law and how quickly such behavior sets in. They go on to discuss important applications in disciplines ranging from accounting and economics to psychology and the natural sciences. The contributors describe how Benford's law has been successfully used to expose fraud in elections, medical tests, tax filings, and financial reports. Additionally, numerous problems, background materials, and technical details are available online to help instructors create courses around the book.
Emphasizing common challenges and techniques across the disciplines, this accessible book shows how Benford's law can serve as a productive meeting ground for researchers and practitioners in diverse fields.
Review
This work for advanced students and researchers explains how to applyBenford’s Law, which is related to bias in the leading digits of data sets, to many areas, from accounting to psychology. After aquick introduction to the mathematical theory of Benford’s Law, coverage progresses to distributions and rates of convergence. Parts3, 4, and 5 describe examples and cases of the use of Benford’s Law in accounting, voter fraud, economics, psychology, natural sciences,and medical imaging. With self-contained chapters, a 60-page section of exercises, and a companion web site, the book can be used as a textbook.Annotation ©2015 Ringgold, Inc., Portland, OR (protoview.com)
Review
This work for advanced students and researchers explains how to applyBenford’s Law, which is related to bias in the leading digits of data sets, to many areas, from accounting to psychology. After aquick introduction to the mathematical theory of Benford’s Law, coverage progresses to distributions and rates of convergence. Parts3, 4, and 5 describe examples and cases of the use of Benford’s Law in accounting, voter fraud, economics, psychology, natural sciences,and medical imaging. With self-contained chapters, a 60-page section of exercises, and a companion web site, the book can be used as a textbook.Annotation ©2015 Ringgold, Inc., Portland, OR (protoview.com)
Synopsis
"This important, impressive, and well-crafted book presents the theory and many diverse applications of Benford's law. The contributors cover a rich and fascinating selection of topics that will appeal to people with an interest in mathematics and statistics as well as experts in a broad range of disciplines."
--Iddo Ben-Ari, University of Connecticut"Benford's law has been underappreciated by academics and scholars since its appearance, and a book of this kind has long been needed. It offers a well-organized, unified presentation of Benford's law from both a theoretical point of view and an applications standpoint."--Marco Corazza, Ca' Foscari University of Venice (Italy)
About the Author
Steven J. Miller is associate professor of mathematics at Williams College. He is the coauthor of An Invitation to Modern Number Theory (Princeton).