Linear Models with Python

Faraway, Julian J.

  • 出版商: CRC
  • 出版日期: 2020-12-28
  • 定價: $3,850
  • 售價: 9.5$3,658
  • 語言: 英文
  • 頁數: 298
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1138483958
  • ISBN-13: 9781138483958
  • 相關分類: Python
  • 立即出貨 (庫存=1)



Praise for Linear Models with R:

This book is a must-have tool for anyone interested in understanding and applying linear models. The logical ordering of the chapters is well thought out and portrays Faraway's wealth of experience in teaching and using linear models. ... It lays down the material in a logical and intricate manner and makes linear modeling appealing to researchers from virtually all fields of study. -Biometrical Journal

Throughout, it gives plenty of insight ... with comments that even the seasoned practitioner will appreciate. Interspersed with R code and the output that it produces one can find many little gems of what I think is sound statistical advice, well epitomized with the examples chosen...I read it with delight and think that the same will be true with anyone who is engaged in the use or teaching of linear models. -Journal of the Royal Statistical Society

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.












  • Python is a powerful, open source programming language increasingly being used in data science, machine learning and computer science. Python and R are similar, but R was designed for statistics, while Python is multi-talented.
  • This version replaces R with Python to make it accessible to a greater number of users outside of statistics, including those from Machine Learning.
  • A reader coming to this book from an ML background will learn new statistical perspectives on learning from data.
  • Topics include Model Selection, Shrinkage, Experiments with Blocks and Missing Data.
  • Includes an Appendix on Python for beginners.


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.






- Python是一種功能強大的開源編程語言,越來越多地用於數據科學、機器學習和計算機科學。Python和R相似,但R是專為統計設計的,而Python則是多才多藝的。
- 這個版本將R替換為Python,使更多非統計學背景的用戶能夠使用。
- 從機器學習背景來看,讀者將學習到關於從數據中學習的新的統計觀點。
- 主題包括模型選擇、收縮、區塊實驗和缺失數據。
- 包含一個針對初學者的Python附錄。



Julian J. Faraway is a professor of statistics in the Department of Mathematical Sciences at the University of Bath. His research focuses on the analysis of functional and shape data with particular application to the modeling of human motion. He earned a PhD in statistics from the University of California, Berkeley.


Julian J. Faraway是巴斯大學數學科學系的統計學教授。他的研究專注於功能和形狀數據的分析,特別應用於人體運動建模。他在加州大學伯克利分校獲得統計學博士學位。