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Statistics & Computing Books

You are currently browsing 1–10 of 12 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 1

  1. Bayesian Programming

    By Pierre Bessiere, Emmanuel Mazer, Juan Manuel Ahuactzin, Kamel Mekhnacha

    Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

    Probability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to...

    Published December 20th 2013 by Chapman and Hall/CRC

  2. 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

  3. IBM SPSS Statistics 19 Made Simple

    By Colin D. Gray, Paul R. Kinnear

    This new edition of one of the most widely read textbooks in its field introduces the reader to data analysis with the most powerful and versatile statistical package on the market: IBM SPSS Statistics 19. Each new release of SPSS Statistics features new options and other improvements. There...

    Published August 16th 2011 by Psychology 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 29th 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 28th 2011 by Chapman and Hall/CRC

  6. 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

  7. 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

  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. Data Management Using Stata

    A Practical Handbook

    By Michael N. Mitchell

    Using simple language and illustrative examples, this book comprehensively covers data management tasks that bridge the gap between raw data and statistical analysis. Rather than focus on clusters of commands, the author takes a modular approach that enables readers to quickly identify and...

    Published May 24th 2010 by Stata Press

  10. Relational Data Clustering

    Models, Algorithms, and Applications

    By Bo Long, Zhongfei Zhang, Philip S. Yu

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

    A culmination of the authors’ years of extensive research on this topic, Relational Data Clustering: Models, Algorithms, and Applications addresses the fundamentals and applications of relational data clustering. It describes theoretic models and algorithms and, through examples, shows how to apply...

    Published May 19th 2010 by Chapman and Hall/CRC