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Statistics

Most popular at the top

  • Multivariate Bayesian Statisticsby Daniel B. Rowe

    CRC Press 2002; US$ 159.95

    Introduction Part l: FUNDAMENTALS STATISTICAL DISTRIBUTIONS Scalar Distributions Vector Distributions Matrix Distributions INTRODUCTORY BAYESIAN STATISTICS Discrete Scalar Variables Continuous Scalar Variables Continuous Vector Variables Continuous Matrix Variables PRIOR DISTRIBUTIONS Vague Priors Conjugate Priors Generaliz ed Priors... more...

  • Fitting Statistical Distributionsby Zaven A. Karian; Edward J. Dudewicz

    CRC Press 2000; US$ 172.95

    THE GENERALIZED LAMBDA FAMILY OF DISTRIBUTIONS History and Background Definition of the Generalized Lambda Distributions The Parameter Space of the GLD Shape of the GLD Density Functions GLD Random Variate Generation FITTING DISTRIBUTIONS AND DATA WITH THE GLD VIA THE METHOD OF MOMENTS The Moments of the GLD Distribution The (a23, a4)-Space Covered... 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$ 80.00

    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...

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

    Wiley 2007; US$ 179.00

    Michael Goldstein, Professor of Statistics, Department of Mathematical Sciences, University of Durham Michael Goldstein has worked on and researched the Bayes linear approach for around 30 years, his general interests being in the foundations, methodology and applications of Bayesian/subjectivist approaches to statistics. He has an outstanding... more...

  • Bayesian Statistical Modellingby Peter Congdon

    Wiley 2007; US$ 118.00

    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...

  • Business Statistics Demystifiedby Steven Kemp; Sid Kemp

    McGraw-Hill Education 2004; US$ 21.00

    Say goodbye to dry presentations, grueling formulas, and abstract theories that would put Einstein to sleep -- now there's an easier way to master the disciplines you really need to know. McGraw-Hill's Demystified Series teaches complex subjects in a unique, easy-to-absorb manner, and is perfect for users without formal training or unlimited... more...

  • Statistics Demystifiedby Stan Gibilisco

    McGraw-Hill Education 2004; US$ 21.95

    Popular science/hobbyist writer Stan Gibilisco covers every important aspect of basic (algebra-based) statistics, including: notation and jargon, describing, tables, graphs, randomness and uncertainty, probability principles, distributions, obtaining and interpreting data, correlation, causation, and more You'll be able to learn more in less time,... more...