Linear Regression With Python: A Tutorial Introduction to the Mathematics of Regression Analysis

James V. Stone

ISBN 10: 191627918X / ISBN 13: 9781916279186

Edité par Touchladybirdlucky Studios Feb 2022, 2022

A propos de cet article

Neuware - Linear regression is the first step, and often the only step, required to fit a simple model to data. Supported by a Glossary and tutorial appendices, this is an ideal introduction to regression analysis. Each chapter contains Python code.

N° de réf. du vendeur 9781916279186

Détails bibliographiques

• Titre: Linear Regression With Python: A Tutorial Introduction to the Mathematics of Regression Analysis
• Éditeur: Touchladybirdlucky Studios Feb 2022
• Date de parution: 2022
• Langue: anglais
• ISBN à 10 chiffres: 191627918X
• ISBN à 13 chiffres: 9781916279186
• Reliure: Taschenbuch
• État de l'article: Neu

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, included as Python 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.