Applied Linear Regression for Business Analytics with R A Practical Guide to Data Science with Case Studies /

Podrobná bibliografie
Hlavní autor: McGibney, Daniel P. (Autor)
Korporativní autor: SpringerLink (Online service)
Shrnutí:XVII, 276 p. 86 illus., 53 illus. in color.
text
Jazyk:angličtina
Vydáno: Cham : Springer International Publishing : Imprint: Springer, 2023.
Vydání:1st ed. 2023.
Edice:International Series in Operations Research & Management Science, 337
Témata:
On-line přístup:https://doi.org/10.1007/978-3-031-21480-6
Médium: Elektronický zdroj E-kniha
Obsah:
  • 1. Introduction
  • 2. Basic Statistics and Functions using R
  • 3. Regression Fundamentals
  • 4. Simple Linear Regression
  • 5. Multiple Regression
  • 6. Estimation Intervals and Analysis of Variance
  • 7. Predictor Variable Transformations
  • 8. Model Diagnostics
  • 9. Variable Selection.