Linear Regression: A Tutorial Introduction to the Mathematics of Regression Analysis (Tutorial Introductions)

Stone, James V

ISBN 10: 1916279198 / ISBN 13: 9781916279193

Edité par Sebtel Press, 2022

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N° de réf. du vendeur 26394733552

Détails bibliographiques

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

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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.