Linear models with Python

Linear models with Python

by Faraway, Julian James

Type Book
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"Like its widely praised, best-selling companion version, Linear Models with R, this book replaces R with Python to seamlessly give a coherent exposition of the practice of linear modeling. Linear Models with Python offers up-to-date insight on essential data analysis topics, from estimation, inference, and prediction to missing data, factorial models, and block designs. Numerous examples illustrate how to apply the different methods using Python. Linear Models with Python explains how to use l…

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Title Statements

  • Full title :Linear models with Python / Julian J. Faraway.

Summary

"Like its widely praised, best-selling companion version, Linear Models with R, this book replaces R with Python to seamlessly give a coherent exposition of the practice of linear modeling. Linear Models with Python offers up-to-date insight on essential data analysis topics, from estimation, inference, and prediction to missing data, factorial models, and block designs. Numerous examples illustrate how to apply the different methods using Python. Linear Models with Python explains how to use linear models in physical science, engineering, social science, and business applications. It is ideal as a textbook for linear models or linear regression courses"--

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Edition Statements

  • Publication Date:©2021
  • Edition:First edition

Publication Statements

Notes

"A Chapman & Hall Book" -- title page.

The Physical Object

  • Description:x, 298 pages : : illustrations ; : 25 cm.

Edition Identifiers

  • ISBN:9781138483958, 1138483958
  • oclc:on1190723453
  • LC Classification:QA279
  • Dewey Decimal:519.50285/5133

Table of Contents

Introduction -- Estimation -- Inference -- Prediction -- Explanation -- Diagnostics -- Problems with predictors -- Problems with the error -- Transformation -- Model selection -- Shrinkage methods -- Insurance redlining-a complete example -- Missing data -- Categorical predictors -- One-factor models -- Models with several factors -- Experiments with blocks.

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Subjects

Writers

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