Linear Regression With Python: A Tutorial Introduction to the Mathematics of Regression Analysis

James V Stone

ISBN 10: 191627918X / ISBN 13: 9781916279186

Published by Sebtel Press, 2022

About this Item

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Bibliographic Details

• Title: Linear Regression With Python: A Tutorial Introduction to the Mathematics of Regression Analysis
• Publisher: Sebtel Press
• Publication Date: 2022
• Language: English
• ISBN 10: 191627918X
• ISBN 13: 9781916279186
• Binding: Paperback / softback
• Condition: New

About this title

Synopsis

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 Python 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.