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

Bibliografiske detaljer
Hovedforfatter: McGibney, Daniel P. (Author)
Institution som forfatter: SpringerLink (Online service)
Summary:XVII, 276 p. 86 illus., 53 illus. in color.
text
Sprog:engelsk
Udgivet: Cham : Springer International Publishing : Imprint: Springer, 2023.
Udgivelse:1st ed. 2023.
Serier:International Series in Operations Research & Management Science, 337
Fag:
Online adgang:https://doi.org/10.1007/978-3-031-21480-6
Format: Electronisk Bog
Indholdsfortegnelse:
  • 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.