9781138469310-1138469319-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: 9781138469310
ISBN-10: 1138469319
Edition: 1
Author:
Publication date: 2018
Publisher: Chapman and Hall/CRC
Format: Hardcover
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Book details

ISBN-13: 9781138469310
ISBN-10: 1138469319
Edition: 1
Author:
Publication date: 2018
Publisher: Chapman and Hall/CRC
Format: Hardcover

Summary

Statistics in MATLAB: A Primer (Chapman & Hall/CRC Computer Science & Data Analysis) (ISBN-13: 9781138469310 and ISBN-10: 1138469319), written by authors , was published by Chapman and Hall/CRC in 2018. With an overall rating of 3.5 stars, it's a notable title among other books. You can easily purchase or rent Statistics in MATLAB: A Primer (Chapman & Hall/CRC Computer Science & Data Analysis) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.34.

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 and the Statistics Toolbox. The student version of MATLAB presents examples of how MATLAB can be used to analyze data and offers access to a companion website with data sets and additional examples. It contains figures and visual aids to assist in application of the software and 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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