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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.
| Autorius: | James V Stone |
| Leidėjas: | Sebtel Press |
| Išleidimo metai: | 2022 |
| Knygos puslapių skaičius: | 128 |
| ISBN-10: | 1916279198 |
| ISBN-13: | 9781916279193 |
| Formatas: | 229 x 152 x 8 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Linear Regression: A Tutorial Introduction to the Mathematics of Regression Analysis“
