Linear Regression
A Tutorial Introduction to the Mathematics of Regression Analysis
Published on 28. January 2022
Book
Paperback/Softback
128 pages
978-1-9162791-9-3 (ISBN)
Description
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, implemented online with Python and Matlab code. Supported by a comprehensive glossary and tutorial appendices, this book is an ideal introduction to regression analysis.
More details
Series
Language
English
Place of publication
United Kingdom
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 8 mm
Weight
198 gr
ISBN-13
978-1-9162791-9-3 (9781916279193)
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Schweitzer Classification
Person
Visiting Professor, University of Sheffield, UK.