Linear Regression With Matlab - A Tutorial Introduction to the Mathematics of Regression Analysis

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.

About the author

Visiting Professor, University of Sheffield, UK.

Product details

• Authors: James V Stone, James V. Stone
• Publisher: Sebtel Press
• Languages: English
• Product format: Paperback / Softback
• Released: 28.02.2022
• EAN: 9781916279179
• ISBN: 978-1-916279-17-9
• No. of pages: 140
• Dimensions: 152 mm x 229 mm x 8 mm
• Weight: 215 g
• Series: Tutorial Introductions
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics