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Handbook of Regression Modeling in People Analytics
With Examples in R and Python
Buch 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: 2021
Fachbereich: Grundlagen (Methodik & Statistik)
Genre: Psychologie
Rubrik: Geisteswissenschaften
Medium: Buch
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9781032041742
ISBN-10: 1032041749
Sprache: Englisch
Einband: Gebunden
Autor: McNulty, Keith
Hersteller: Taylor & Francis Ltd
Maße: 239 x 157 x 20 mm
Von/Mit: Keith McNulty
Erscheinungsdatum: 30.07.2021
Gewicht: 0,596 kg
Artikel-ID: 121293810
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: 2021
Fachbereich: Grundlagen (Methodik & Statistik)
Genre: Psychologie
Rubrik: Geisteswissenschaften
Medium: Buch
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9781032041742
ISBN-10: 1032041749
Sprache: Englisch
Einband: Gebunden
Autor: McNulty, Keith
Hersteller: Taylor & Francis Ltd
Maße: 239 x 157 x 20 mm
Von/Mit: Keith McNulty
Erscheinungsdatum: 30.07.2021
Gewicht: 0,596 kg
Artikel-ID: 121293810
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