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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, 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.
Author: James V. Stone
Publisher: Sebtel Press
Published: 02/15/2022
Pages: 140
Binding Type: Paperback
Weight: 0.43lbs
Size: 9.00h x 6.00w x 0.30d
ISBN13: 9781916279179
ISBN10: 1916279171
BISAC Categories:
- Mathematics | Probability & Statistics | Regression Analysis
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