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Statistics & Computing Books

You are currently browsing 21–30 of 164 new and published books in the subject of Statistics & Computing — 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 3

  1. Mean Field Simulation for Monte Carlo Integration

    By Pierre Del Moral

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

    In the last three decades, there has been a dramatic increase in the use of interacting particle methods as a powerful tool in real-world applications of Monte Carlo simulation in computational physics, population biology, computer sciences, and statistical machine learning. Ideally suited to...

    Published May 19th 2013 by Chapman and Hall/CRC

  2. Applied Meta-Analysis with R

    By Ding-Geng (Din) Chen, Karl E. Peace

    Series: Chapman & Hall/CRC Biostatistics Series

    In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, Applied Meta-Analysis with R shows how to implement statistical meta-analysis...

    Published May 2nd 2013 by Chapman and Hall/CRC

  3. Handbook of SAS® DATA Step Programming

    By Arthur Li

    To write an accomplished program in the DATA step of SAS®, programmers must understand programming logic and know how to implement and even create their own programming algorithm. Handbook of SAS® DATA Step Programming shows readers how best to manage and manipulate data by using the DATA step....

    Published April 9th 2013 by Chapman and Hall/CRC

  4. Discovering Structural Equation Modeling Using Stata

    By Alan C. Acock

    Discovering Structural Equation Modeling Using Stata is devoted to Stata’s sem command and all it can do. You’ll learn about its capabilities in the context of confirmatory factor analysis, path analysis, structural equation modeling, longitudinal models, and multiple-group analysis. The book...

    Published March 31st 2013 by Stata Press

  5. Bayesian Disease Mapping

    Hierarchical Modeling in Spatial Epidemiology, Second Edition

    By Andrew B. Lawson

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Since the publication of the first edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hierarchical Modeling in...

    Published March 17th 2013 by Chapman and Hall/CRC

  6. Introduction to Time Series using Stata

    By Sean Becketti

    Recent decades have witnessed explosive growth in new and powerful tools for timeseries analysis. These innovations have overturned older approaches to forecasting, macroeconomic policy analysis, the study of productivity and long-run economic growth, and the trading of financial assets....

    Published January 1st 2013 by Stata Press

  7. Generalized Estimating Equations, Second Edition

    By James W. Hardin, Joseph M. Hilbe

    Generalized Estimating Equations, Second Edition updates the best-selling previous edition, which has been the standard text on the subject since it was published a decade ago. Combining theory and application, the text provides readers with a comprehensive discussion of GEE and related models....

    Published December 9th 2012 by Chapman and Hall/CRC

  8. Bayesian Methods in Health Economics

    By Gianluca Baio

    Series: Chapman & Hall/CRC Biostatistics Series

    Health economics is concerned with the study of the cost-effectiveness of health care interventions. This book provides an overview of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it presents Bayesian...

    Published November 11th 2012 by Chapman and Hall/CRC

  9. Latent Markov Models for Longitudinal Data

    By Francesco Bartolucci, Alessio Farcomeni, Fulvia Pennoni

    Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

    Drawing on the authors’ extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data focuses on the formulation of latent Markov models and the practical use of these models. Numerous examples illustrate how latent Markov models are used in...

    Published October 28th 2012 by Chapman and Hall/CRC

  10. Clustering

    A Data Recovery Approach, Second Edition

    By Boris Mirkin

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error. Even the two most popular, and most related, clustering methods—K-Means for partitioning and Ward's method for hierarchical...

    Published October 16th 2012 by Chapman and Hall/CRC