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Statistics

Most popular at the top

  • Algebraic Statisticsby Giovanni Pistone; Eva Riccomagno; Henry P. Wynn

    Taylor and Francis 2000; US$ 159.95

    Written by pioneers in this exciting new field, Algebraic Statistics introduces the application of polynomial algebra to experimental design, discrete probability, and statistics. It begins with an introduction to Gröbner bases and a thorough description of their applications to experimental design. A special chapter covers the binary case with new... more...

  • Multivariate Bayesian Statisticsby Daniel B. Rowe

    Taylor and Francis 2002; US$ 154.95

    Of the two primary approaches to the classic source separation problem, only one does not impose potentially unreasonable model and likelihood constraints: the Bayesian statistical approach. Bayesian methods incorporate the available information regarding the model parameters and not only allow estimation of the sources and mixing coefficients, but... more...

  • Nonequilibrium Statistical Mechanicsby R.W. Zwanzig

    Oxford University Press 2001; US$ 124.99

    Presents the main principles and methods of nonequilibrium statistical mechanics. This book is written for graduate students and scientists who already have knowledge of basic equilibrium statistical mechanics, and who are interested in the complex field of time-dependent nonequilibrium statistical mechanics. more...

  • Statistical Mechanicsby J. Woods Halley

    Cambridge University Press 2006; US$ 74.00

    This 2006 book presents a 'reductionist' view of statistical mechanics, suitable for a one year graduate course. more...

  • Schaum's Outline of Statistics and Econometricsby Dominick Salvatore; Derrick Reagle

    McGraw-Hill Education 2001; US$ 19.95

    Tough Test Questions? Missed Lectures? Not Enough Time? Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in... more...

  • Bayesian Statistical Modellingby Peter Congdon

    Wiley 2007; US$ 114.00

    Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters.... more...

  • Probability and Statisticsby John Tabak

    Infobase Publishing 2004; US$ 40.00

    Probability and Statistics provides a detailed look at the many aspects of this branch of mathematical investigation. Covering everything from ancient games of chance played around the world and the theories of Fermat and Pascal to phrenology, the specious use of statistics, and statistical methods to stop epidemics, this book offers a comprehensive... more...

  • Bayes Linear Statistics, Theory & Methodsby Michael Goldstein; David Wooff

    Wiley 2007; US$ 173.00

    Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these beliefs, given observational data. The methodology differs from the full Bayesian methodology... more...

  • Statistics Demystifiedby Stan Gibilisco

    McGraw-Hill Education 2004; US$ 21.95

    INCREASE YOUR ODDS OF LEARNING STATISTICS Now anyone with an interest in mastering statistics can do so -- without formal training, unlimited time, or a private tutor. In Statistics Demystified, best-selling science and math writer Stan Gibilisco provides an effective, anxiety-soothing, and totally painless way to learn or review statistics fundamentals.... more...

  • All of Nonparametric Statisticsby Larry Wasserman

    Springer-Verlag New York Inc 2006; US$ 139.00

    Focuses on various aspects of nonparametric inference that covers various topics in one place. This text includes coverage of: the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets. more...