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Distribution (Probability theory)

Most popular at the top

  • Benford's Lawby Steven J. Miller

    Princeton University Press 2015; US$ 75.00

    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... more...

  • Stochastic Ordersby Moshe Shaked; J.George Shanthikumar

    Springer-Verlag New York Inc 2007; US$ 199.00

    Stochastic ordering is a fundamental guide for decision making under uncertainty. This text covers the various notions of stochastic orderings, their closure properties, and their applications. It is intended for those who are interested in decision making under uncertainty and in the analysis of complex stochastic systems. more...

  • Characteristic Functions, Scattering Functions and Transfer Functionsby Daniel Alpay

    Springer 2010; US$ 189.00

    The notions of transfer function and characteristic functions proved to be fundamental in the last fifty years in operator theory and in system theory. Moshe Livsic played a central role in developing these notions, and the book contains a selection of carefully chosen refereed papers dedicated to his memory. Topics include classical operator theory,... more...

  • Handbook of Fitting Statistical Distributions with Rby Zaven A. Karian; Edward J. Dudewicz

    CRC Press 2010; US$ 172.95

    "... this is an enormously rich and useful handbook representing well the state of art in this area. ... This handbook should be available in any institutional library, and it will be more than useful to both theorists and applied scientists." ? Zentralblatt MATH 1282 "Zaven Karian and Edward Dudewicz, major authorities on the GLD, along with numerous... more...

  • Infinite Divisibility of Probability Distributions on the Real Lineby Fred W. Steutel; Klaas van Harn

    CRC Press 2003; US$ 319.00

    Infinite Divisibility of Probability Distributions on the Real Line reassesses classical theory and presents new developments, while focusing on divisibility with respect to convolution or addition of independent random variables. This definitive, example-rich text supplies approximately 100 examples to correspond with all major chapter topics and... more...

  • Finite Mixture Modelsby Geoffrey McLachlan; David Peel

    Wiley 2004; US$ 195.00

    An up-to-date, comprehensive account of major issues in finite mixture modeling This volume provides an up-to-date account of the theory and applications of modeling via finite mixture distributions. With an emphasis on the applications of mixture models in both mainstream analysis and other areas such as unsupervised pattern recognition, speech recognition,... more...

  • Testing For Normalityby Henry C. Thode

    CRC Press 2002; US$ 243.00

    Describes the selection, design, theory, and application of tests for normality. Covers robust estimation, test power, and univariate and multivariate normality. Contains tests ofr multivariate normality and coordinate-dependent and invariant approaches. more...

  • Continuous Multivariate Distributionsby Samuel Kotz; N. Balakrishnan; Norman L. Johnson

    Wiley 2004; US$ 269.00

    Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this critical statistical area. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, inferential procedures, computational and simulational aspects,... more...

  • Large Deviations and Metastabilityby Enzo Olivieri; Maria Eulália Vares

    Cambridge University Press 2005; US$ 212.00

    Covers an area at intersection of probability theory and statistical mechanics. more...

  • Information Theory And The Central Limit Theoremby Oliver Johnson

    World Scientific Publishing Company 2004; US$ 156.00

    This book provides a comprehensive description of a new method of proving the central limit theorem, through the use of apparently unrelated results from information theory. It gives a basic introduction to the concepts of entropy and Fisher information, and collects together standard results concerning their behaviour. It brings together results from... more...