Linear Regression: A Tutorial Introduction to the Mathematics of Regression Analysis, Paperback/James V. Stone

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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. Book specifications: Collection: Tutorial Introductions Dimensions: 229 x 152 Author: James V. Stone Cover type: Paperback Publishing Year: 2022 Publishing Month: 1 Pages: 128 Language: English Publisher: Sebtel Press Weight: 181 g