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Statistics & Computing Books

You are currently browsing 31–40 of 165 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 4

  1. 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 2nd 2013 by Stata Press

  2. 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 10th 2012 by Chapman and Hall/CRC

  3. 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 12th 2012 by Chapman and Hall/CRC

  4. 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 29th 2012 by Chapman and Hall/CRC

  5. 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 17th 2012 by Chapman and Hall/CRC

  6. A Level of Martin-Lof Randomness

    By Bradley S. Tice

    This work addresses the notion of compression ratios greater than what has been known for random sequential strings in binary and larger radix-based systems as applied to those traditionally found in Kolmogorov complexity. A culmination of the author’s decade-long research that began with his...

    Published October 9th 2012 by CRC Press

  7. The BUGS Book

    A Practical Introduction to Bayesian Analysis

    By David Lunn, Chris Jackson, Nicky Best, Andrew Thomas, David Spiegelhalter

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Bayesian statistical methods have become widely used for data analysis and modelling in recent years, and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical...

    Published October 2nd 2012 by Chapman and Hall/CRC

  8. Applied Medical Statistics Using SAS

    By Geoff Der, Brian S. Everitt

    Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data. Applied Medical Statistics Using SAS covers the whole range of modern statistical methods used in the analysis of medical data, including...

    Published October 1st 2012 by Chapman and Hall/CRC

  9. Generalized Linear Mixed Models

    Modern Concepts, Methods and Applications

    By Walter W. Stroup

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the generalized linear mixed model (GLMM) as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how...

    Published September 24th 2012 by CRC Press

  10. The R Student Companion

    By Brian Dennis

    R is the amazing, free, open-access software package for scientific graphs and calculations used by scientists worldwide. The R Student Companion is a student-oriented manual describing how to use R in high school and college science and mathematics courses. Written for beginners in scientific...

    Published September 24th 2012 by Chapman and Hall/CRC