9781466596566-1466596562-Statistics in MATLAB: A Primer (Chapman & Hall/CRC Computer Science & Data Analysis)

Statistics in MATLAB: A Primer (Chapman & Hall/CRC Computer Science & Data Analysis)

ISBN-13: 9781466596566
ISBN-10: 1466596562
Edition: 1
Author: Wendy L. Martinez, MoonJung Cho
Publication date: 2014
Publisher: Chapman and Hall/CRC
Format: Paperback 288 pages
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Book details

ISBN-13: 9781466596566
ISBN-10: 1466596562
Edition: 1
Author: Wendy L. Martinez, MoonJung Cho
Publication date: 2014
Publisher: Chapman and Hall/CRC
Format: Paperback 288 pages

Summary

Statistics in MATLAB: A Primer (Chapman & Hall/CRC Computer Science & Data Analysis) (ISBN-13: 9781466596566 and ISBN-10: 1466596562), written by authors Wendy L. Martinez, MoonJung Cho, was published by Chapman and Hall/CRC in 2014. With an overall rating of 4.2 stars, it's a notable title among other Statistics (Education & Reference) books. You can easily purchase or rent Statistics in MATLAB: A Primer (Chapman & Hall/CRC Computer Science & Data Analysis) (Paperback) from BooksRun, along with many other new and used Statistics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $1.09.

Description

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

Statistics in MATLAB: A Primer 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.

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