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Statistics & Computing Books

You are currently browsing 81–90 of 171 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 9

  1. 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 28th 2011 by Chapman and Hall/CRC

  2. 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 7th 2011 by Chapman and Hall/CRC

  3. 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 20th 2010 by CRC Press

  4. 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 16th 2010 by CRC Press

  5. 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 15th 2010 by CRC Press

  6. 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 27th 2010 by Stata Press

  7. Simultaneous Inference in Regression

    By Wei Liu

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

    Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods of parameter estimation and hypothesis testing. Simultaneous Inference in Regression provides a thorough overview of the construction methods and applications of...

    Published October 19th 2010 by CRC Press

  8. An Introduction to Survival Analysis Using Stata, Third Edition

    By Mario Cleves, William Gould, Roberto Gutierrez, Yulia Marchenko

    An Introduction to Survival Analysis Using Stata, Third Edition provides the foundation to understand various approaches for analyzing time-to-event data. It is not only a tutorial for learning survival analysis but also a valuable reference for using Stata to analyze survival data. Although the...

    Published September 9th 2010 by Stata Press

  9. Using R for Data Management, Statistical Analysis, and Graphics

    By Nicholas J. Horton, Ken Kleinman

    Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphics Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate...

    Published July 28th 2010 by CRC Press

  10. Using SAS for Data Management, Statistical Analysis, and Graphics

    By Ken Kleinman, Nicholas J. Horton

    Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphics A unique companion for statistical coders, Using SAS for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an...

    Published July 28th 2010 by CRC Press