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Statistics & Probability Books

You are currently browsing 11–20 of 1,054 new and published books in the subject of Statistics & Probability — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books – Page 2

  1. Economic Indeterminacy

    A personal encounter with the economists' peculiar nemesis

    By Yanis Varoufakis

    Series: Routledge Frontiers of Political Economy

    This volume is a collection of some of the best and most influential work of Yanis Varoufakis. The chapters all address the issue of economic indeterminacy, and the place of a socialized Homo Economicus within the economy. The book addresses Varoufakis’ key interpretation regarding the way in which...

    Published June 9th 2015 by Routledge

  2. Multivariate Applications in Substance Use Research

    New Methods for New Questions

    Edited by Jennifer S. Rose, Laurie Chassin, Clark C. Presson, Steven J. Sherman

    Series: Multivariate Applications Series

    This edited volume introduces the latest advances in quantitative methods and illustrates ways to apply these methods to important questions in substance use research. The goal is to provide a forum for dialogue between methodologists developing innovative multivariate statistical methods and...

    Published June 8th 2015 by Psychology Press

  3. Introductory Adaptive Trial Designs

    A Practical Guide with R

    By Mark Chang

    Series: Chapman & Hall/CRC Biostatistics Series

    All the Essentials to Start Using Adaptive Designs in No Time Compared to traditional clinical trial designs, adaptive designs often lead to increased success rates in drug development at reduced costs and time. Introductory Adaptive Trial Designs: A Practical Guide with R motivates newcomers to...

    Published June 8th 2015 by Chapman and Hall/CRC

  4. Parallel Computing for Data Science

    With Examples in R, C++ and CUDA

    By Norman Matloff

    Series: Chapman & Hall/CRC The R Series

    Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic "n observations, p...

    Published June 4th 2015 by Chapman and Hall/CRC

  5. R and MATLAB

    By David E. Hiebeler

    Series: Chapman & Hall/CRC The R Series

    The First Book to Explain How a User of R or MATLAB Can Benefit from the Other In today’s increasingly interdisciplinary world, R and MATLAB® users from different backgrounds must often work together and share code. R and MATLAB® is designed for users who already know R or MATLAB and now need to...

    Published June 2nd 2015 by Chapman and Hall/CRC

  6. Current Trends in Bayesian Methodology with Applications

    Edited by Satyanshu K. Upadhyay, Umesh Singh, Dipak K. Dey, Appaia Loganathan

    Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis, spatial statistics,...

    Published May 21st 2015 by Chapman and Hall/CRC

  7. Graphical Data Analysis with R

    By Antony Unwin

    Series: Chapman & Hall/CRC The R Series

    See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages...

    Published May 20th 2015 by Chapman and Hall/CRC

  8. Understanding Political Science Statistics and Understanding PS Stats using STATA (bundle)

    By Peter Galderisi

    By emphasizing the underlying logic of statistical analysis for greater understanding and drawing on applications and examples from political science, Understanding Political Science Statistics illustrates how students can apply statistical concepts and techniques in their own research, in future...

    Published May 15th 2015 by Routledge

  9. Statistical Learning with Sparsity

    The Lasso and Generalizations

    By Trevor Hastie, Robert Tibshirani, Martin Wainwright

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Discover New Methods for Dealing with High-Dimensional Data A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents...

    Published May 7th 2015 by Chapman and Hall/CRC

  10. The Geometry of Multivariate Statistics

    By Thomas D. Wickens

    A traditional approach to developing multivariate statistical theory is algebraic. Sets of observations are represented by matrices, linear combinations are formed from these matrices by multiplying them by coefficient matrices, and useful statistics are found by imposing various criteria of...

    Published May 7th 2015 by Psychology Press