Titre: Linear Regression: A Tutorial Introduction to the Mathematics of Regression Analysis (Tutorial Introductions)
�diteur: Sebtel Press
Date de parution: 2022
Langue: anglais
ISBN � 10 chiffres: 1916279198
ISBN � 13 chiffres: 9781916279193
Reliure: Couverture souple
�tat de l'article: New

A propos de ce titre

Synopsis

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.

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