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.
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.
Linear Regression: A Tutorial Introduction to the Mathematics of Regression Analysis
128
Linear Regression: A Tutorial Introduction to the Mathematics of Regression Analysis
128Paperback
Product Details
| ISBN-13: | 9781916279193 |
|---|---|
| Publisher: | Sebtel Press |
| Publication date: | 01/28/2022 |
| Series: | Tutorial Introductions |
| Pages: | 128 |
| Product dimensions: | 6.00(w) x 9.00(h) x 0.27(d) |