This primer illustrates the use of MATLAB® for statistical data analysis and research. It describes functions for statistics in the main MATLAB software package, the Statistics Toolbox, and the student version of MATLAB. The capabilities in the MATLAB Statistics Toolbox have increased tremendously...
To Be Published December 30th 2014 by Chapman and Hall/CRC
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
As with the bestselling first edition, Computational Statistics Handbook with MATLAB®, Second Edition covers some of the most commonly used contemporary techniques in computational statistics. With a strong, practical focus on implementing the methods, the authors include algorithmic descriptions...
Published December 19th 2007 by Chapman and Hall/CRC
Exploratory data analysis (EDA) was conceived at a time when computers were not widely used, and thus computational ability was rather limited. As computational sophistication has increased, EDA has become an even more powerful process for visualizing and summarizing data before making model...
Published November 28th 2004 by Chapman and Hall/CRC
Approaching computational statistics through its theoretical aspects can be daunting. Often intimidated or distracted by the theory, researchers and students can lose sight of the actual goals and applications of the subject. What they need are its key concepts, an understanding of its methods,...
Published September 25th 2001 by Chapman and Hall/CRC