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Cover: 9781032046631 | Handbook of Regression Modeling in People Analytics | Keith McNulty
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Handbook of Regression Modeling in People Analytics
With Examples in R and Python
Taschenbuch von Keith McNulty
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor

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.

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2024
Fachbereich: Allgemeines
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781032046631
ISBN-10: 1032046635
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: McNulty, Keith
Hersteller: Chapman and Hall/CRC
Maße: 234 x 156 x 15 mm
Von/Mit: Keith McNulty
Erscheinungsdatum: 26.08.2024
Gewicht: 0,418 kg
Artikel-ID: 129610681
Über den Autor

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.

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2024
Fachbereich: Allgemeines
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781032046631
ISBN-10: 1032046635
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: McNulty, Keith
Hersteller: Chapman and Hall/CRC
Maße: 234 x 156 x 15 mm
Von/Mit: Keith McNulty
Erscheinungsdatum: 26.08.2024
Gewicht: 0,418 kg
Artikel-ID: 129610681
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