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Distribution (Probability theory)

  • Advances in Distribution Theory, Order Statistics, and Inferenceby N. Balakrishnan; Enrique Castillo; Jose Maria Sarabia

    Birkhäuser Boston 2007; US$ 319.00

    Barry Arnold has made fundamental contributions to many different areas of statistics, including distribution theory, Bayesian inference, multivariate analysis, bounds and orderings, and characterization problems. Organized to honor Arnold?s significant contributions to the field, this volume is an outgrowth of the "International Conference on Distribution... more...

  • Advances on Models, Characterizations and Applicationsby N. Balakrishnan; I. G. Bairamov; O. L. Gebizlioglu

    CRC Press 2005; US$ 132.95

    Preface Contributors The Shapes of the Probability Density, Hazard, and Reverse Hazard Functions Masaaki Sibuya Stochastic Ordering of Risks, Influence of Dependence, and A.S. Constructions Ludger Rüschendorf The q-Factorial Moments of Discrete q-Distributions and a Characterization of the Euler Distribution Ch.A. Charalambides and N. Papadatos ... more...

  • 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...

  • Characteristic Functions, Scattering Functions and Transfer Functionsby Daniel Alpay; Victor Vinnikov

    Birkhäuser Basel 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...

  • Comparing Distributionsby Olivier Thas

    Springer New York 2010; US$ 169.00

    This volume provides a theoretical treatment of a wide range of goodness-of-fit statistical methods. By comparing techniques for both one-sample and k-sample problems, the text offers a wider perspective that considers graphic and estimation parameters, and emphasizes their theoretical similarities. more...

  • Conditional Measures and Applicationsby M.M. Rao

    CRC Press 2005; US$ 132.95

    THE CONCEPT OF CONDITIONING Introduction Conditional Probability Given a Partition Conditional Expectation: Elementary Case Conditioning with Densities Conditional Probability Spaces: First Steps Bibliographical Notes THE KOLMOGOROV FORMULATION AND ITS PROPERTIES Introduction of the General Concept Basic Properties of Conditional Expectations Conditional... 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...

  • Convergence of Probability Measuresby Patrick Billingsley

    Wiley 2013; US$ 185.00

    A new look at weak-convergence methods in metric spaces-from a master of probability theory In this new edition, Patrick Billingsley updates his classic work Convergence of Probability Measures to reflect developments of the past thirty years. Widely known for his straightforward approach and reader-friendly style, Dr. Billingsley presents a clear,... more...

  • Copula Theory and Its Applicationsby Piotr Jaworski; Fabrizio Durante; Wolfgang Karl Härdle; Tomasz Rychlik

    Springer Berlin Heidelberg 2010; US$ 149.00

    Copulas are mathematical objects that fully capture the dependence structure among random variables. This book offers an up-to-date account of essential aspects of copula models. It also features papers selected from presentations at a workshop in Warsaw. more...

  • Dependence Modeling with Copulasby Harry Joe

    CRC Press 2014; US$ 89.95

    Introduction Dependence modeling Early research for multivariate non-Gaussian Copula representation for a multivariate distribution Data examples: scatterplots and semi-correlations Likelihood analysis and model comparisons Copula models versus alternative multivariate models Terminology for multivariate distributions with U(0 , 1) margins... more...