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Statistics & Computing Books

You are currently browsing 71–80 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 8

  1. Handbook of Markov Chain Monte Carlo

    Edited by Steve Brooks, Andrew Gelman, Galin Jones, Xiao-Li Meng

    Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

    Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statistics. Furthermore, MCMC methods have enabled the development and use of intricate models in an...

    Published May 9th 2011 by Chapman and Hall/CRC

  2. Practical Statistical Methods

    A SAS Programming Approach

    By Lakshmi Padgett

    Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting mathematical details and...

    Published April 24th 2011 by CRC Press

  3. Multivariate Generalized Linear Mixed Models Using R

    By Damon M. Berridge, Robert Crouchley

    Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data sets, enabling readers to answer increasingly complex research questions. The book applies the principles of modeling to longitudinal data from panel and...

    Published April 24th 2011 by CRC Press

  4. Dose Finding by the Continual Reassessment Method

    By Ying Kuen Cheung

    Series: Chapman & Hall/CRC Biostatistics Series

    As clinicians begin to realize the important role of dose-finding in the drug development process, there is an increasing openness to "novel" methods proposed in the past two decades. In particular, the Continual Reassessment Method (CRM) and its variations have drawn much attention in the medical...

    Published March 28th 2011 by Chapman and Hall/CRC

  5. Data Clustering in C++

    An Object-Oriented Approach

    By Guojun Gan

    Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

    Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects into homogeneous groups such that objects in the same group are similar and objects in different groups are quite distinct. Thousands of theoretical papers and a number of books on data clustering...

    Published March 27th 2011 by Chapman and Hall/CRC

  6. Introduction to Statistical Limit Theory

    By Alan M. Polansky

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Helping students develop a good understanding of asymptotic theory, Introduction to Statistical Limit Theory provides a thorough yet accessible treatment of common modes of convergence and their related tools used in statistics. It also discusses how the results can be applied to several common...

    Published January 6th 2011 by Chapman and Hall/CRC

  7. Robust Nonparametric Statistical Methods, Second Edition

    By Thomas P. Hettmansperger, Joseph W. McKean

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

    Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers univariate tests and estimates with extensions to linear models, multivariate models, times series models, experimental designs, and mixed models. It follows the...

    Published December 19th 2010 by CRC Press

  8. Exploratory Data Analysis with MATLAB, Second Edition

    By Wendy L. Martinez, Angel Martinez, Jeffrey Solka

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

    Since the publication of the bestselling first edition, many advances have been made in exploratory data analysis (EDA). Covering innovative approaches for dimensionality reduction, clustering, and visualization, Exploratory Data Analysis with MATLAB®, Second Edition uses numerous examples and...

    Published December 15th 2010 by CRC Press

  9. Exploratory Multivariate Analysis by Example Using R

    By Francois Husson, Sebastien Le, Jerome Pages

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

    Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are...

    Published November 14th 2010 by CRC Press

  10. Maximum Likelihood Estimation with Stata, Fourth Edition

    By William Gould, Jeffrey Pitblado, Brian Poi

    Maximum Likelihood Estimation with Stata, Fourth Edition is written for researchers in all disciplines who need to compute maximum likelihood estimators that are not available as prepackaged routines. Readers are presumed to be familiar with Stata, but no special programming skills are assumed...

    Published October 26th 2010 by Stata Press