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Forthcoming Statistics & Probability Books

You are currently browsing 41–50 of 112 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 5

  1. Parallel Computation in Data Science

    With Examples in R

    By Norman Matloff

    Series: Chapman & Hall/CRC The R Series

    With a focus on multicore machines and clusters as well as GPU computing, this book covers parallel R in the broad context of the general principles of parallel computing. It gives concrete technical details on the various packages and methods of parallel computation in R, along with numerous...

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

  2. Commodities

    Edited by M. A. H. Dempster, Ke Tang

    Series: Chapman and Hall/CRC Financial Mathematics Series

    This book covers the fundamental theory of and derivatives pricing for major commodity markets as well as the interaction between commodity prices and the real economy and other financial markets. After an extensive theoretical and practical introduction, the book is divided into four parts...

    To Be Published April 25th 2015 by Chapman and Hall/CRC

  3. 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...

    To Be Published April 28th 2015 by Psychology Press

  4. Introduction to Stock Portfolio Management

    By Gatfaoui Hayette

    Emphasizing the need for knowledge of modern finance theory in portfolio management, this text explains why theory should precede mathematics when it comes to money management. It presents key concepts underlying portfolio management theory, followed by examples and applied exercises to enforce...

    To Be Published April 29th 2015 by CRC Press

  5. Models for Dependent Time Series

    By Granville Tunnicliffe-Wilson, Marco Reale, John Haywood

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

    Authored by leading researchers in multivariate time series, this book introduces time series models based on lagged regression, particularly vector autoregressive models. It covers recent developments, such as graphical modeling and generalized lag models, and extends them to the important case of...

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

  6. Biostatistics in Action

    Basic and Advanced Statistical Modeling Using SPSS

    By Florin Vaida, Anya Umlauf

    Designed for medical researchers without a background in statistics, this text takes readers easily from basic boxplots and t-tests to linear and logistic regression and survival analysis to more complex generalized linear and nonlinear models and longitudinal data analysis. With many examples and...

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

  7. Principles of Copula Theory

    By Fabrizio Durante, Carlo Sempi

    This book presents a much-needed synthesis of recent research on copulas, a statistical tool widely used in applications in financial risk assessment and actuarial analysis. The text provides an overview of the mathematical properties of copulas with an emphasis on recent developments. It contains...

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

  8. Generalized Linear Models and Correlated Data Methods

    By Julie Legler, Paul Roback

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Designed for advanced undergraduate or non-major graduate students in Advanced Statistical Modeling or Regression II as well as courses on Generalized Linear Models, Longitudinal Data Analysis, Correlated Data, or Multilevel Models, this text offers a unified discussion of generalized linear models...

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

  9. Mixture Model-Based Classification

    By Paul David McNicholas

    This work addresses classification using mixture models broadly. Unlike traditional treatments of the subject that heavily focus on unsupervised approaches, this book gives attention to unsupervised, semi-supervised, and supervised classification paradigms. Case studies illustrate both non-Gaussian...

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

  10. Current Trends in Bayesian Methodology with Applications

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

    This book provides a comprehensive survey in one place of recent results in these areas: Novel Bayesian Modeling; Spatio-temporal modeling; Data mining and machine learning; Bayesian non-parametric methods; Neuroimaging and Image analysis; Meta analysis; Survival analysis; Bayesian econometrics;...

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