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Title | Welcome | Handbook of Regression Modeling in People Analytics: With Examples in R, Python and |
Description | A technical manual of inferential statistics and regression modeling in the people and social |
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WebSite | peopleanalytics-regression-book.org |
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Handbook of Regression Modeling in People Analytics : With Examples in R, Python and Julia Show table of contents Table of contents Welcome Foreword by Alexis Fink Introduction 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 Proportional Odds Logistic Regression for Ordered Category Outcomes 8 Modeling Explicit and Latent Hierarchy in Data 9 Survival Analysis for Modeling Singular Events Over Time 10 Alternative Technical Approaches in R, Python and Julia 11 Power Analysis to Estimate Required Sample Sizes for Modeling Solutions to Exercises, Slide Presentations, Videos and Other Learning Resources References View book source Welcome Welcome to the website for the book Handbook of Regression Modeling in People Analytics by Keith McNulty . Note : This book |
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