Julian J. Faraway

Linear Models with Python (eBook, PDF)

• Format: PDF

Produktbeschreibung

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

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 308
• Erscheinungstermin: 1. Februar 2021
• Englisch
• ISBN-13: 9781351053402
• Artikelnr.: 61120728

Autorenporträt

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.

Inhaltsangabe

1.Introduction 2.Estimation 3.Inference 4.Prediction 5.Explanation
6.Diagnostics 7.Problems with the Predictors 8.Problems with the Errors
9.Transformation10.Model Selection 11.Shrinkage Methods 12.Insurance
Redlining -A Complete Example 13.Missing Data 14.Categorical Predictors
15.One Factor Models 16.Models with Several Factors 17.Experiments with
Blocks 18.About Python