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

Stone, James V

ISBN 10: 191627918X / ISBN 13: 9781916279186

Edité par Sebtel Press, 2022

A propos de cet article

This copy may contain significant wear, including bending, heavy writing, tears, and or water damage. This book is a functional copy, not necessarily a beautiful copy. Copy may have loose pages. May not include access codes or CDs. May be an Ex library book with stickers and stamps. Dustjacket may be missing.

N° de réf. du vendeur GBV.191627918X.A

Détails bibliographiques

• Titre: Linear Regression With Python: A Tutorial Introduction to the Mathematics of Regression Analysis (Tutorial Introductions)
• Éditeur: Sebtel Press
• Date de parution: 2022
• Langue: anglais
• ISBN à 10 chiffres: 191627918X
• ISBN à 13 chiffres: 9781916279186
• Reliure: Couverture souple
• État de l'article: acceptable

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.