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Probabilities. Mathematical statistics

Most popular at the top

  • Statisticsby David J. Hand

    Oxford University Press 2008; US$ 7.99

    Statistics has evolved into an exciting discipline which uses deep theory and powerful software to shed light on the world around us: from clinical trials in medicine, to economics, sociology, and countless other subjects vital to understanding modern life. This Very Short Introduction explores and explains how statistics works today. - ;Modern statistics... more...

  • R Cookbookby Paul Teetor

    O'Reilly Media 2011; US$ 31.99

    With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic... more...

  • The Divergent Series Complete Collectionby Veronica Roth

    HarperCollins 2013; US$ 23.99

    All three books in the #1 New York Times bestselling Divergent trilogy are available together for the first time! Perfect for gift givers, collectors, and fans new to the series, the collection includes Divergent , Insurgent , and Allegiant , as well as bonus content: a 48-page guide to the series, including Faction Manifestos, a Faction Quiz... more...

  • Applied Linear Models with SASby Daniel Zelterman

    Cambridge University Press 2010; US$ 64.00

    This textbook for a second course in basic statistics for undergraduates or first-year graduate students introduces linear regression models using SAS. more...

  • Bayesian Estimation and Trackingby Anton J. Haug

    Wiley 2012; US$ 133.00

    A practical approach to estimating and tracking dynamic systems in real-worl applications Much of the literature on performing estimation for non-Gaussian systems is short on practical methodology, while Gaussian methods often lack a cohesive derivation. Bayesian Estimation and Tracking addresses the gap in the field on both accounts, providing... more...

  • Probability and Random Processesby Scott Miller; Donald Childers

    Elsevier Science 2012; US$ 89.95

    Miller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It is aimed at graduate students as well as practicing engineers, and includes unique chapters on narrowband... more...

  • Causality in a Social Worldby Guanglei Hong

    Wiley 2015; US$ 90.00

    Causality in a Social World introduces innovative new statistical research and strategies for investigating moderated intervention effects, mediated intervention effects, and spill-over effects using experimental or quasi-experimental data. The book uses potential outcomes to define causal effects, explains and evaluates identification assumptions... more...

  • Graphics of Large Datasetsby Antony Unwin; Martin Theus; Heike Hofmann

    Springer 2007; US$ 169.00

    This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases, or large in numbers of variables, or large in both. All ideas are illustrated with displays from analyses of real datasets and the importance of interpreting displays effectively is emphasized. Graphics should be drawn to convey information and the... more...

  • Random Walk: A Modern Introductionby Gregory F. Lawler; Vlada Limic

    Cambridge University Press 2010; US$ 77.00

    An advanced treatment of random walks written for students and researchers in probability and related fields. more...

  • Spatial Statistics and Spatio-Temporal Databy Michael Sherman

    Wiley 2011; US$ 111.95

    In the spatial or spatio-temporal context, specifying the correct covariance function is fundamental to obtain efficient predictions, and to understand the underlying physical process of interest. This book focuses on covariance and variogram functions, their role in prediction, and appropriate choice of these functions in applications. Both recent... more...