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

Stone, James V

ISBN 10: 191627918X / ISBN 13: 9781916279186

Published by Sebtel Press, 2022

About this Item

This copy may contain significant wear, including bending, writing, tears, and or water damage. This book is a functional copy, not necessarily a beautiful copy. Copy may have loose or missing pages and may not include access codes or CD. Seller Inventory # GBV.191627918X.A

Bibliographic Details

Title: Linear Regression With Python: A Tutorial ...

Publisher: Sebtel Press

Publication Date: 2022

Binding: Soft cover

Condition: acceptable

About this title

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.