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- Author: James V Stone
- Publisher: Sebtel Press
- Year: 2022
- Pages: 125
- ISBN-10: 191627918X
- ISBN-13: 9781916279186
- Format: 15.2 x 22.9 x 0.8 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
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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 Python 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.
EXTRA 10 % discount with code: EXTRA
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- Author: James V Stone
- Publisher: Sebtel Press
- Year: 2022
- Pages: 125
- ISBN-10: 191627918X
- ISBN-13: 9781916279186
- Format: 15.2 x 22.9 x 0.8 cm, softcover
- Language: English English
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 Python 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.
Reviews