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Distribution (Probability theory)

Most popular at the top

  • 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...

  • 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...

  • 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...

  • Self-Normalized Processesby C. C. Heyde; P. Jagers

    Springer 2008; US$ 99.00

    Self-normalized processes are of common occurrence in probabilistic and statistical studies. This volume covers developments in the area, including self-normalized large and moderate deviations, and laws of the iterated logarithms for self-normalized martingales. It treats the theory and applications of self-normalization. more...