Introduction to Benford's Law -  Arno Berger,  Theodore P. Hill

Introduction to Benford's Law (eBook)

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2015
256 Seiten
Princeton University Press (Verlag)
978-1-4008-6658-8 (ISBN)
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Arno Berger is associate professor of mathematics at the University of Alberta. He is the author of Chaos and Chance: An Introduction to Stochastic Aspects of Dynamics. Theodore P. Hill is professor emeritus of mathematics at the Georgia Institute of Technology and research scholar in residence at the California Polytechnic State University.
This book provides the first comprehensive treatment of Benford's law, the surprising logarithmic distribution of significant digits discovered in the late nineteenth century. Establishing the mathematical and statistical principles that underpin this intriguing phenomenon, the text combines up-to-date theoretical results with overviews of the law's colorful history, rapidly growing body of empirical evidence, and wide range of applications.An Introduction to Benford's Law begins with basic facts about significant digits, Benford functions, sequences, and random variables, including tools from the theory of uniform distribution. After introducing the scale-, base-, and sum-invariance characterizations of the law, the book develops the significant-digit properties of both deterministic and stochastic processes, such as iterations of functions, powers of matrices, differential equations, and products, powers, and mixtures of random variables. Two concluding chapters survey the finitely additive theory and the flourishing applications of Benford's law.Carefully selected diagrams, tables, and close to 150 examples illuminate the main concepts throughout. The text includes many open problems, in addition to dozens of new basic theorems and all the main references. A distinguishing feature is the emphasis on the surprising ubiquity and robustness of the significant-digit law. This text can serve as both a primary reference and a basis for seminars and courses.

Arno Berger is associate professor of mathematics at the University of Alberta. He is the author of Chaos and Chance: An Introduction to Stochastic Aspects of Dynamics. Theodore P. Hill is professor emeritus of mathematics at the Georgia Institute of Technology and research scholar in residence at the California Polytechnic State University.

Erscheint lt. Verlag 26.5.2015
Zusatzinfo 47 color illus. 4 line illus. 2 tables.
Verlagsort Princeton
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik Allgemeines / Lexika
Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Logik / Mengenlehre
Technik
Schlagworte absolute continuity • absolute value • Addition • algorithm • Almost surely • Approximation • Approximation error • base-invariance property • bayesian models • Benford distribution • Benford distributions • Benford functions • Benford sequences • Benford's Law • Borel set • Calculation • Chi-squared test • coefficient • complex number • Computations • Computer Science • continuous function • Convergence of random variables • Countable set • data set • Decimal mark • Diagnostics • differential equation • Differential Equations • Dimension • Discrete time and continuous time • Distribution Function • Division by zero • Dynamical system • Eigenvalues and Eigenvectors • Empirical distribution function • Empirical Evidence • empty set • Equation • ergodic theory • existential quantification • expected value • Explanation • exponential growth • Family of sets • Fibonacci Number • finitely additive probability • Finite set • First-Digit Law • fraud detection • Function (mathematics) • Functions • Gamma distribution • Generic property • Geometric Brownian motion • imaginary number • Independent and identically distributed random variables • Initial Value Problem • Instance (computer science) • Integer • Interval (mathematics) • Iteration • law of large numbers • Lebesgue measure • linear difference equation • Linear Function • Linear map • linear processes • Linear subspace • logarithm • logarithmic distribution • mathematical hypotheses • Mathematical Theory • mathematician • Mathematics • Monotonic Function • multi-dimensional models • natural density • Natural number • natural phenomena • Newton's method • Nonnegative Matrix • Normal distribution • Number Theory • one-dimensional deterministic systems • one-dimensional difference • Open problem • Parameter • pedagogical tool • polynomial growth • Positive real numbers • Power of 10 • Power set • Prime number • Probability • Probability Distribution • probability measure • Probability space • Probability Theory • Proportionality (mathematics) • random matrices • random processes • random sequence • Random Variable • random variables • Rate of Convergence • real number • result • Rounding • round-off error • Sampling (Statistics) • scale-invariance property • Scientist • sequences • significand • significand functions • significands • Significant-digit law • significant digits • Significant figures • Sign (mathematics) • Special case • square root • Statistic • statistical distribution • Stochastic matrix • Stochastic process • Subset • sum-invariance property • Summation • superexponential growth • Surveys • Theorem • theory • Uniform distribution • Uniform distribution (discrete) • Variable (mathematics) • Variance
ISBN-10 1-4008-6658-8 / 1400866588
ISBN-13 978-1-4008-6658-8 / 9781400866588
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