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Linear Regression With Python|James V. Stone

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

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Overview

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.

Details

  • ISBN-13: 9781916279186
  • ISBN-10: 191627918X
  • Publisher: Sebtel Press
  • Publish Date: February 2022
  • Dimensions: 9 x 6 x 0.3 inches
  • Shipping Weight: 0.43 pounds
  • Page Count: 140

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