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Statistics

Most popular at the top

  • Basic Skills In Statisticsby Adrian Cook; Gopalakrishnan Netuveli; Aziz Sheikh

    Class Publishing (London) Ltd 2003; US$ 26.99

    Statistics can be an intimidating subject for many students and clinicians. This concise text introduces basic concepts that underpin medical statistics and using everyday clinical examples, highlights the importance of statistical principles in understanding and implementing research findings in routine clinical care. more...

  • Elements of Statistical Mechanicsby Ivo Sachs; Siddartha Sen; James Sexton

    Cambridge University Press 2006; US$ 31.00

    A concise introduction to key concepts and tools of modern statistical mechanics. Self-contained, it combines analytical and numerical techniques, and presents a diverse range of applications. Built on many years' teaching experience, this textbook is ideal for advanced students across the physical sciences. more...

  • Damned Lies and Statisticsby Joel Best

    University of California Press 2001; US$ 12.95

    Startling statistics shape our thinking about social issues. But all too often, these numbers are wrong. Examining how bad statistics emerge, spread, and come to shape policy debates, this book provides a guide to spotting, and learning to think critically, about these influential numbers. more...

  • Applying Statistics in the Courtroomby Phillip I. Good

    CRC Press 2001; US$ 119.95

    A guide to the application of statistics in law. It is designed to help both attorneys and statisticians increase their effectiveness in presenting, defending and attacking statistical arguments in the courtroom. There are numerous citations and actual cases. more...

  • Multivariate Bayesian Statisticsby Daniel B. Rowe

    CRC Press 2002; US$ 139.95

    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. This guide offers a thorough, self-contained treatment of the problem, using the "cocktail-party" analogy. more...

  • Fitting Statistical Distributionsby Zaven A. Karian

    CRC Press 2000; US$ 149.95

    This volume addresses a major stumbling block encountered throughout the physical and social sciences - fitting a statistical distribution to a set of data. The authors discuss the use of the Generalized Lambda Distribution (GLD), along with the extended GLD, and there are numerous examples. 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

    Taking a 'reductionist' view of statistical mechanics, this book implicitly assumes that the physics of complex systems as observed is connected to fundamental laws represented at the molecular level by Newtonian or quantum mechanics. Written for one year graduate course in statistical mechanics for physicists and chemists, problems are included. 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... more...

  • Bayesian Statistical Modellingby Peter Congdon

    Wiley 2007; US$ 110.00

    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...