
Linear Regression: A Tutorial Introduction to the Mathematics of Regression Analysis
James V. Stone$16.96
$19.95
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.
Binding Type: Paperback
Publisher: Sebtel Press
Published: 01/28/2022
ISBN: 9781916279193
Pages: 128
Weight: 0.40lbs
Size: 9.00h x 6.00w x 0.27d
