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Distribution (Probability theory)

Most popular at the top

  • 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...

  • A Theory of Distributed Objectsby Denis Caromel; Ludovic Henrio

    Springer 2005; US$ 149.00

    This title is a detailed presentation of a calculus for distributed objects interacting using asynchronous method calls with generalized futures. The authors provide generic results on expressiveness and determinism. They also offer an extensive review of concurrent languages and calculi, with comprehensive figures and summaries. more...

  • Univariate Discrete Distributionsby Norman L. Johnson; Adrienne W. Kemp; Samuel Kotz

    Wiley 2005; US$ 261.00

    This Set Contains: Continuous Multivariate Distributions, Volume 1, Models and Applications, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson Continuous Univariate Distributions, Volume 1, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson Continuous Univariate Distributions, Volume 2, 2nd Edition by Samuel Kotz,... more...

  • An Introduction To Stein's Methodby A. D. Barbour

    World Scientific Publishing Company 2005; US$ 149.00

    A common theme in probability theory is the approximation of complicated probability distributions by simpler ones, the central limit theorem being a classical example. Stein's method is a tool which makes this possible in a wide variety of situations. Traditional approaches, for example using Fourier analysis, become awkward to carry through in situations... more...

  • Stein's Method And Applicationsby A. D. Barbour; Louis Chen

    World Scientific Publishing Company 2005; US$ 163.00

    Stein's startling technique for deriving probability approximations first appeared about 30 years ago. Since then, much has been done to refine and develop the method, but it is still a highly active field of research, with many outstanding problems, both theoretical and in applications. This volume, the proceedings of a workshop held in honour of... more...

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

    Taylor and Francis 2005; US$ 129.95

    Statistical distributions are one of the most important applied mathematical tools across a wide spectrum of disciplines, including engineering, biological sciences, and health and social sciences. Since they are used to model observed data and ultimately to develop inferential procedures, understanding the properties of statistical distributions is... more...

  • Conditional Measures and Applicationsby M.M. Rao

    Taylor and Francis 2005; US$ 125.95

    In response to unanswered difficulties in the generalized case of conditional expectation and to treat the topic in a well-deservedly thorough manner, M.M. Rao gave us the highly successful first edition of Conditional Measures and Applications. Until this groundbreaking work, conditional probability was relegated to scattered journal articles and... more...

  • Probability and Statistical Models with Applicationsby CH. A. Charalambides; M.V. Koutras; N. Balakrishnan

    Taylor and Francis 2000; US$ 154.95

    This monograph of carefully collected articles reviews recent developments in theoretical and applied statistical science, highlights current noteworthy results and illustrates their applications; and points out possible new directions to pursue. With its enlightening account of statistical discoveries and its numerous figures and tables, Probability... more...

  • Handbook of Statistical Distributions with Applicationsby K. Krishnamoorthy

    Taylor and Francis 2006; US$ 104.95

    In the area of applied statistics, scientists use statistical distributions to model a wide range of practical problems, from modeling the size grade distribution of onions to modeling global positioning data. To apply these probability models successfully, practitioners and researchers must have a thorough understanding of the theory as well as a... more...

  • Finite Mixture and Markov Switching Modelsby Sylvia Frühwirth-Schnatter

    Springer 2006; US$ 179.00

    The past years have seen powerful computational tools for modeling which combine a Bayesian approach with Monte simulation techniques based on Markov chains. This book reviews these techniques and covers advances in the field. It also offers a presentation of the Bayesian perspective of finite mixture modelling. more...