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Linear Regression With Matlab James V Stone
Linear Regression With Matlab
James V Stone
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.
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 15 de febrero de 2022 |
| ISBN13 | 9781916279179 |
| Editores | Sebtel Press |
| Páginas | 140 |
| Dimensiones | 152 × 229 × 8 mm · 195 g |
| Lengua | Inglés |
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