Книга Statistics in MATLAB: A Primer

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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

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.

Код товару
20217013
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Тип обкладинки
М'яка
Мова
Англійська
Опис книги

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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3369 грн
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