Linear Regression: A Tutorial Introduction to the Mathematics of Regression Analysis, Paperback

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.

• Collection: Tutorial Introductions
• Dimensions: 229 x 152
• Author: James V. Stone
• Cover type: Paperback
• Publishing Year: 2022
• Publishing Month: 1
• Pages: 128
• Language: English
• Publisher: Sebtel Press
• Weight: 181 g