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Forthcoming Statistics & Computing Books

You are currently browsing 1–10 of 38 forthcoming new books in the subject of Statistics & Computing — sorted by publish date from upcoming books to future books.

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

Forthcoming Books

  1. Methods of Statistical Model Estimation

    By Joseph Hilbe, Andrew Robinson

    Methods of Statistical Model Estimation examines the most important and popular methods used to estimate parameters for statistical models and provide informative model summary statistics. Designed for R users, the book is also ideal for anyone wanting to better understand the algorithms used for...

    To Be Published June 5th 2013 by Chapman and Hall/CRC

  2. Analysis of Variance for Functional Data

    By Jin-Ting Zhang

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

    Despite research interest in functional data analysis in the last three decades, few books are available on the subject. Filling this gap, Analysis of Variance for Functional Data presents up-to-date hypothesis testing methods for functional data analysis. The book covers the reconstruction of...

    To Be Published June 23rd 2013 by Chapman and Hall/CRC

  3. Reproducible Research with R and RStudio

    By Christopher Gandrud

    Series: Chapman & Hall/CRC The R Series

    Bringing together computational research tools in one accessible source, Reproducible Research with R and RStudio guides you in creating dynamic and highly reproducible research. Suitable for researchers in any quantitative empirical discipline, it presents practical tools for data collection, data...

    To Be Published July 2nd 2013 by Chapman and Hall/CRC

  4. Statistical Methods for Handling Incomplete Data

    By Jae Kwang Kim, Jun Shao

    With advances in computing power, there have been substantial developments in computational methods for handling missing data. This text presents an introduction to the theory, applications, and computational aspects of missing data analysis. It covers the three main methodological approaches:...

    To Be Published July 16th 2013 by Chapman and Hall/CRC

  5. Dynamic Documents with R and knitr

    By Yihui Xie

    Series: Chapman & Hall/CRC The R Series

    Suitable for both beginners and advanced users, this book shows you how to write reports in simple languages such as Markdown. The reports range from homework, projects, exams, books, blogs, and web pages to any documents related to statistical graphics, computing, and data analysis. While...

    To Be Published July 16th 2013 by Chapman and Hall/CRC

  6. Probability and Statistics for Computer Scientists, Second Edition

    By Michael Baron

    Presenting probability and statistical methods, simulation techniques, and modeling tools, this book helps students solve problems and make optimal decisions in uncertain conditions, select stochastic models, compute probabilities and forecasts, and evaluate performance of computer systems and...

    To Be Published August 5th 2013 by Chapman and Hall/CRC

  7. Nonparametric Methods in Statistics with SAS Applications

    By Olga Korosteleva

    Series: Chapman & Hall/CRC Texts in Statistical Science

    The book gives a comprehensive coverage of most classical nonparametric statistical tests as well as nonparametric techniques in regression and generalized regression, time-to-event analysis, density estimations and resampling methods. All these techniques are widely used in modern day statistics....

    To Be Published September 8th 2013 by Chapman and Hall/CRC

  8. Implementing Reproducible Computational Research

    Edited by Victoria Stodden, Friedrich Leisch, Roger D. Peng

    Series: Chapman & Hall/CRC The R Series

    In many of today’s research fields, including biomedicine, computational tools are increasingly being used so that the results can be reproduced. Researchers are now encouraged to incorporate software, data, and code in their academic papers so that others can replicate their research results....

    To Be Published October 14th 2013 by Chapman and Hall/CRC

  9. Bayesian Programming

    By Pierre Bessiere, Juan-Manuel Ahuactzin, Kamel Mekhnacha, Emmanuel Mazer

    To create a complete computing Bayesian framework, a new modeling methodology is needed to build probabilistic models; new inference algorithms are required to automate probabilistic calculus; and new programming languages are sought to implement these models on computers; eventually, new hardware...

    To Be Published October 25th 2013 by Chapman and Hall/CRC

  10. Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition

    By Robert Ho

    With emphasis firmly on such practical matters, this handbook sets forth clear guidelines for performing specific statistical tests with SPSS and interpreting the output. All chapters include the full SPSS output of the test being addressed and the step-by-step interpretation of the results. The...

    To Be Published November 3rd 2013 by Chapman and Hall/CRC