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Showing 1 - 12 of 12 results for “christopher g small”
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  • Expansions and Asymptotics for Statistics

    by Christopher G. Small ...
    Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
    Asymptotic methods provide important tools for approximating and analysing functions that arise in probability and statistics. Moreover, the conclusions of asymptotic analysis often supplement the conclusions obtained by numerical methods. Providing a broad toolkit of analytical methods, Expansions and Asymptotics for Statistics shows how asymptoti ... Read more

    $322.92 CAD

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  • Probability Theory

    The Logic of Science

    by E. T. Jaynes ...
    The standard rules of probability can be interpreted as uniquely valid principles in logic. In this book, E. T. Jaynes dispels the imaginary distinction between 'probability theory' and 'statistical inference', leaving a logical unity and simplicity, which provides greater technical power and flexibility in applications. This book goes beyond the conventional mathematics of probability theory, ... Read more

    $138.99 CAD

  • Mathematical Statistics

    by S. S. Wilks ...
    This book contains S. S. Wilks' lessons on mathematical statistics, and will make an excellent addition to the bookshelf of anyone with an interest in the subject. Preface: 'Most of the mathematical theory of statistics in its present state has been developed during the past twenty years. Because of the variety of scientific fields in which statistical problems have arisen, the original ... Read more

    $10.99 CAD

  • Probability

    An Introduction

    by Dominic Welsh, Geoffrey Grimmett ...
    Probability is an area of mathematics of tremendous contemporary importance across all aspects of human endeavour. This book is a compact account of the basic features of probability and random processes at the level of first and second year mathematics undergraduates and Masters' students in cognate fields. It is suitable for a first course in probability, plus a follow-up course in random ... Read more

    $43.19 CAD

  • Algebraic Geometry and Statistical Learning Theory

    by Sumio Watanabe ...
    Series Book 25 - Cambridge Monographs on Applied and Computational Mathematics
    Sure to be influential, this book lays the foundations for the use of algebraic geometry in statistical learning theory. Many widely used statistical models and learning machines applied to information science have a parameter space that is singular: mixture models, neural networks, HMMs, Bayesian networks, and stochastic context-free grammars are major examples. Algebraic geometry and singularity ... Read more

    $102.99 CAD

  • Asymptotic Statistics

    by A. W. van der Vaart ...
    Series Book 3 - Cambridge Series in Statistical and Probabilistic Mathematics
    This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency, U-statistics, and rank procedures, the book also presents recent research topics such as semiparametric models, the ... Read more

    $73.99 CAD

  • The Art Of Probability

    by Richard W. Hamming ...
    Offering accessible and nuanced coverage, Richard W. Hamming discusses theories of probability with unique clarity and depth. Topics covered include the basic philosophical assumptions, the nature of stochastic methods, and Shannon entropy. One of the best introductions to the topic, The Art of Probability is filled with unique insights and tricks worth knowing. ... Read more

    $159.99 CAD

  • A Modern Theory of Random Variation

    With Applications in Stochastic Calculus, Financial Mathematics, and Feynman Integration

    by Patrick Muldowney ...
    A ground-breaking and practical treatment of probability and stochastic processesA Modern Theory of Random Variation is a new and radical re-formulation of the mathematical underpinnings of subjects as diverse as investment, communication engineering, and quantum mechanics. Setting aside the classical theory of probability measure spaces, the book utilizes a mathematically rigorous version of the ... Read more

    $151.99 CAD

  • Time Series: Theory and Methods

    by Peter J. Brockwell, Richard A. Davis ...
    Series series Mathematics and Statistics (R0)
    This edition contains a large number of additions and corrections scattered throughout the text, including the incorporation of a new chapter on state-space models. The companion diskette for the IBM PC has expanded into the software package ITSM: An Interactive Time Series Modelling Package for the PC, which includes a manual and can be ordered from Springer-Verlag. * We are indebted to many ... Read more

    $192.19 CAD

  • Robust Statistics

    by Peter J. Huber, Elvezio M. Ronchetti ...
    Series Book 693 - Wiley Series in Probability and Statistics
    A new edition of the classic, groundbreaking book on robust statisticsOver twenty-five years after the publication of its predecessor, Robust Statistics, Second Edition continues to provide an authoritative and systematic treatment of the topic. This new edition has been thoroughly updated and expanded to reflect the latest advances in the field while also outlining the established theory and ... Read more

    $176.99 CAD

  • Statistical Methods for Fuzzy Data

    by Reinhard Viertl ...
    Statistical data are not always precise numbers, or vectors, or categories. Real data are frequently what is called fuzzy. Examples where this fuzziness is obvious are quality of life data, environmental, biological, medical, sociological and economics data. Also the results of measurements can be best described by using fuzzy numbers and fuzzy vectors respectively.Statistical analysis methods ... Read more

    $126.99 CAD

  • Monte-Carlo Methods and Stochastic Processes

    From Linear to Non-Linear

    by Emmanuel Gobet ...
    Developed from the author’s course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear focuses on the simulation of stochastic processes in continuous time and their link with partial differential equations (PDEs). It covers linear and nonlinear problems in biology, finance, geophysics, mechanics, chemistry, and other application areas. The text also ... Read more

    $100.99 CAD