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Linear Regression Matlab Tutorial by Stone James (12 results)
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Linear Regression With Matlab: A Tutorial Introduction to the Mathematics of Regression Analysis
Published by Sebtel Press 2022-02, 2022
ISBN 10: 1916279171 ISBN 13: 9781916279179
Language: English
PF. Condition: New.
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Linear Regression With Matlab: A Tutorial Introduction to the Mathematics of Regression Analysis
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Linear Regression With Matlab: A Tutorial Introduction to the Mathematics of Regression Analysis (Tutorial Introductions)
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Linear Regression With Matlab: A Tutorial Introduction to the Mathematics of Regression Analysis
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Linear Regression With Matlab: A Tutorial Introduction to the Mathematics of Regression Analysis (Paperback or Softback)
Published by Sebtel Press 2/15/2022, 2022
ISBN 10: 1916279171 ISBN 13: 9781916279179
Language: English
£ 21.08
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Add to basketPaperback or Softback. Condition: New. Linear Regression With Matlab: A Tutorial Introduction to the Mathematics of Regression Analysis 0.43. Book.
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Add to basketKartoniert / Broschiert. Condition: New. Über den AutorJames V Stone is an Honorary Associated Professor at the University of Sheffield, UK.KlappentextrnrnLinear regression is the workhorse of data analysis. It is the first step, and often the only step.
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Linear Regression With Matlab: A Tutorial Introduction to the Mathematics of Regression Analysis
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 152.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Linear regression is the workhorse of data analysis. It is the first step, and often the only step, in fitting a simple model to data. This brief book explains the essential mathematics required to understand and apply regression analysis. The tutorial style of writing, accompanied by over 30 diagrams, offers a visually intuitive account of linear regression, including a brief overview of nonlinear and Bayesian regression. Hands-on experience is provided in the form of numerical examples, included as Matlab code at the end of each chapter, and implemented online as Python and Matlab code. Supported by a comprehensive glossary and tutorial appendices, this book provides an ideal introduction to regression analysis.
