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Statistics in MATLAB: A Primer / Edition 1
Barnes and Noble
Statistics in MATLAB: A Primer / Edition 1
Current price: $66.99
Barnes and Noble
Statistics in MATLAB: A Primer / Edition 1
Current price: $66.99
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Fulfilling the need for a practical user’s guide,
Statistics in MATLAB: A Primer
provides an accessible introduction to the latest version of MATLAB
®
and its extensive functionality for statistics. Assuming a basic knowledge of statistics and probability as well as a fundamental understanding of linear algebra concepts, this book:
Covers capabilities in the main MATLAB package, the Statistics Toolbox, and the student version of MATLAB
Presents examples of how MATLAB can be used to analyze data
Offers access to a companion website with data sets and additional examples
Contains figures and visual aids to assist in application of the software
Explains how to determine what method should be used for analysis
is an ideal reference for undergraduate and graduate students in engineering, mathematics, statistics, economics, biostatistics, and computer science. It is also appropriate for a diverse professional market, making it a valuable addition to the libraries of researchers in statistics, computer science, data mining, machine learning, image analysis, signal processing, and engineering.
Statistics in MATLAB: A Primer
provides an accessible introduction to the latest version of MATLAB
®
and its extensive functionality for statistics. Assuming a basic knowledge of statistics and probability as well as a fundamental understanding of linear algebra concepts, this book:
Covers capabilities in the main MATLAB package, the Statistics Toolbox, and the student version of MATLAB
Presents examples of how MATLAB can be used to analyze data
Offers access to a companion website with data sets and additional examples
Contains figures and visual aids to assist in application of the software
Explains how to determine what method should be used for analysis
is an ideal reference for undergraduate and graduate students in engineering, mathematics, statistics, economics, biostatistics, and computer science. It is also appropriate for a diverse professional market, making it a valuable addition to the libraries of researchers in statistics, computer science, data mining, machine learning, image analysis, signal processing, and engineering.