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Forthcoming Statistics & Probability Books

You are currently browsing 21–30 of 152 forthcoming new books in the subject of Statistics & Probability — sorted by publish date from upcoming books to future books.

For books that are already published; please browse available books.

Forthcoming Books – Page 3

  1. Reproducible Research with R and R Studio, Second Edition

    By Christopher Gandrud

    Series: Chapman & Hall/CRC The R Series

    This book brings much of this information on reproducible research together in one accessibly written text. It presents a practical reproducible research workflow that researchers in any quantitative empirical discipline can use to gather data, analyze it, and dynamically present the results. In...

    To Be Published June 14th 2015 by Chapman and Hall/CRC

  2. Dynamic Documents with R and knitr, Second Edition

    By Yihui Xie

    Series: Chapman & Hall/CRC The R Series

    The first edition of this book was written with the knitr package version 1.4 which was released more than a year ago. There have been quite a few changes during the development of this package as well as a few useful new features in the RStudio IDE. This new edition gives a detailed introduction...

    To Be Published June 14th 2015 by Chapman and Hall/CRC

  3. A Guide to Doing Statistics in Second Language Research Using SPSS and R

    2nd Edition

    By Jenifer Larson-Hall

    Series: Second Language Acquisition Research Series

    A Guide to Doing Statistics in Second Language Research Using SPSS and R, Second Edition is the only text available that demonstrates how to use SPSS and R as specifically related to applied linguistics and SLA research. This new edition is up-to-date with the most recent version of the SPSS...

    To Be Published June 17th 2015 by Routledge

  4. R and MATLAB

    By David E. Hiebeler

    Series: Chapman & Hall/CRC The R Series

    The book self-contained reference is designed for users of either the R or Matlab software platforms who are familiar with one platform but are moving to the other. The book introduces the important concepts for each section, pointing out key differences in how Matlab and R approach a given topic,...

    To Be Published June 21st 2015 by Chapman and Hall/CRC

  5. Measuring Statistical Evidence Using Relative Belief

    By Michael Evans

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

    Most approaches to statistical inference refer to the evidence of something being true or false. But no theory exists that defines what this evidence is as an explicit quantity, which can lead to a lack of confidence in the conclusions. This book presents a theory of statistical inference based on...

    To Be Published June 21st 2015 by Chapman and Hall/CRC

  6. Empirical Likelihood Method in Survival Analysis

    By Mai Zhou

    Series: Chapman & Hall/CRC Biostatistics Series

    Empirical likelihood is a powerful nonparametric inference approach in statistical literature, and one of the most promising applications of Empirical likelihood method is a survival analysis. This book develops systematically the empirical likelihood method with hazard and other parameters with...

    To Be Published June 24th 2015 by Chapman and Hall/CRC

  7. Search and Foraging

    Individual Motion and Swarm Dynamics

    By Eugene Kagan, Irad Ben-Gal

    Employing a formal mathematical and algorithmic framework, this book addresses foraging and search and screening theories and considers search and foraging behavior using unified models and methods. Offering this approach allows the application of the methods utilized in one theory to the tasks...

    To Be Published June 24th 2015 by Chapman and Hall/CRC

  8. 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...

    To Be Published June 29th 2015 by Chapman and Hall/CRC

  9. Introductory Adaptive Trial Designs

    A Practical Guide with R

    By Mark Chang

    Series: Chapman & Hall/CRC Biostatistics Series

    Instead of providing black box-like general commercial software packages, this tutorial-style book develops the R functions and algorithms necessary to customize adaptive designs to meet their needs. Designed as a practical, tutorial style resource, the book provides a 30 minute R tutorial and...

    To Be Published June 29th 2015 by Chapman and Hall/CRC

  10. Stochastic Analysis for Gaussian Random Processes and Fields

    With Applications

    By Vidyadhar S. Mandrekar, Leszek Gawarecki

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

    This book discusses y the problem of Skorokhod integral, Malliavin derivative, Filtering, Equivalence and Singularity of Gaussian measures, Markov random fields, and Dynkin Isomorphism Theorem and its converse. The book covers the theory of reproducing kernel Hilbert space. The book derives...

    To Be Published July 1st 2015 by Chapman and Hall/CRC