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Book 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, implemented online with Python and Matlab code. Supported by a comprehensive glossary and tutorial appendices, this book is an ideal introduction to regression analysis.

Book details

• Full title: Linear Regression
• Author: James V Stone
• Language: English
• Binding: Paperback
• Number of pages: 128
• EAN: 9781916279193
• ISBN: 1916279198
• ID: 38643520
• Publisher: Sebtel Press
• Weight: 181 g
• Dimensions: 229 × 152 × 7 mm
• Date of publishing: 28. January 2022

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