Keith McNulty

Handbook of Regression Modeling in People Analytics (eBook, PDF)

With Examples in R and Python

• Format: PDF

Produktbeschreibung

This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 272
• Erscheinungstermin: 29. Juli 2021
• Englisch
• ISBN-13: 9781000427899
• Artikelnr.: 62108344

Autorenporträt

Keith McNulty, PhD is a leading practitioner of applied statistics, psychometrics and people analytics. He is currently Global Director of Talent Science and Analytics at McKinsey and Company.

Inhaltsangabe

1. The Importance of Regression in People Analytics. 2. The Basics of the R
Programming Language. 3. Statistics Foundations. 4. Linear Regression for
Continuous Outcomes. 5. Binomial Logistic Regression for Binary Outcomes.
6. Multinomial Logistic Regression for Nominal Category Outcomes. 7.
Ordinal Logistic Regression for Ordered Category Outcomes. 8. Modeling
Explicit and Latent Hierarchical Structure in Data. 9. Survival Analysis
for Modeling the Occurrence of Singular Events Over Time. 10. Alternative
Technical Approaches in R and Python. 11. Power Analysis to Estimate
Required Sample Sizes for Inferential Modeling. 12. Further Exercises for
Practice.