Handbook of regression modeling in people analytics: with examples in R and Python
Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Foreword by Alexis Fink -- Introduction -- 1. The Importance of Regression in People Analytics -- 1.1. Why is regression modeling so important in people analytics? -- 1.2. What do we mean by 'modeling' ? -- 1.2.1. The theor...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Milton
CRC Press
2021
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| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Foreword by Alexis Fink -- Introduction -- 1. The Importance of Regression in People Analytics -- 1.1. Why is regression modeling so important in people analytics? -- 1.2. What do we mean by 'modeling' ? -- 1.2.1. The theory of inferential modeling -- 1.2.2. The process of inferential modeling -- 1.3. The structure, system and organization of this book -- 2. The Basics of the R Programming Language -- 2.1. What is R? -- 2.2. How to start using R -- 2.3. Data in R -- 2.3.1. Data types -- 2.3.2. Homogeneous data structures -- 2.3.3. Heterogeneous data structures -- 2.4. Working with dataframes -- 2.4.1. Loading and tidying data in dataframes -- 2.4.2. Manipulating dataframes -- 2.5. Functions, packages and libraries -- 2.5.1. Using functions -- 2.5.2. Help with functions -- 2.5.3. Writing your own functions -- 2.5.4. Installing packages -- 2.5.5. Using packages -- 2.5.6. The pipe operator -- 2.6. Errors, warnings and messages -- 2.7. Plotting and graphing -- 2.7.1. Plotting in base R -- 2.7.2. Specialist plotting and graphing packages -- 2.8. Documenting your work using R Markdown -- 2.9. Learning exercises -- 2.9.1. Discussion questions -- 2.9.2. Data exercises -- 3. Statistics Foundations -- 3.1. Elementary descriptive statistics of populations and samples -- 3.1.1. Mean, variance and standard deviation -- 3.1.2. Covariance and correlation -- 3.2. Distribution of random variables -- 3.2.1. Sampling of random variables -- 3.2.2. Standard errors, the t-distribution and confidence intervals -- 3.3. Hypothesis testing -- 3.3.1. Testing for a difference in means (Welch's t-test) -- 3.3.2. Testing for a non-zero correlation between two variables t-test for correlation) |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (xvi, 255 Seiten) Keith McNulty. - Illustrationen, Diagramme |
| ISBN: | 9781000427899 |
| DOI: | 10.1201/9781003194156 |
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Datensatz im Suchindex
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| institution | BVB |
| isbn | 9781000427899 |
| language | English |
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| spelling | McNulty, Keith Verfasser aut Handbook of regression modeling in people analytics with examples in R and Python Milton CRC Press 2021 1 Online-Ressource (xvi, 255 Seiten) Keith McNulty. - Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Foreword by Alexis Fink -- Introduction -- 1. The Importance of Regression in People Analytics -- 1.1. Why is regression modeling so important in people analytics? -- 1.2. What do we mean by 'modeling' ? -- 1.2.1. The theory of inferential modeling -- 1.2.2. The process of inferential modeling -- 1.3. The structure, system and organization of this book -- 2. The Basics of the R Programming Language -- 2.1. What is R? -- 2.2. How to start using R -- 2.3. Data in R -- 2.3.1. Data types -- 2.3.2. Homogeneous data structures -- 2.3.3. Heterogeneous data structures -- 2.4. Working with dataframes -- 2.4.1. Loading and tidying data in dataframes -- 2.4.2. Manipulating dataframes -- 2.5. Functions, packages and libraries -- 2.5.1. Using functions -- 2.5.2. Help with functions -- 2.5.3. Writing your own functions -- 2.5.4. Installing packages -- 2.5.5. Using packages -- 2.5.6. The pipe operator -- 2.6. Errors, warnings and messages -- 2.7. Plotting and graphing -- 2.7.1. Plotting in base R -- 2.7.2. Specialist plotting and graphing packages -- 2.8. Documenting your work using R Markdown -- 2.9. Learning exercises -- 2.9.1. Discussion questions -- 2.9.2. Data exercises -- 3. Statistics Foundations -- 3.1. Elementary descriptive statistics of populations and samples -- 3.1.1. Mean, variance and standard deviation -- 3.1.2. Covariance and correlation -- 3.2. Distribution of random variables -- 3.2.1. Sampling of random variables -- 3.2.2. Standard errors, the t-distribution and confidence intervals -- 3.3. Hypothesis testing -- 3.3.1. Testing for a difference in means (Welch's t-test) -- 3.3.2. Testing for a non-zero correlation between two variables t-test for correlation) R Programm (DE-588)4705956-4 gnd rswk-swf Humanvermögen (DE-588)4240300-5 gnd rswk-swf Personaldaten (DE-588)4123928-3 gnd rswk-swf Regressionsanalyse (DE-588)4129903-6 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Electronic books Regressionsanalyse (DE-588)4129903-6 s Humanvermögen (DE-588)4240300-5 s Personaldaten (DE-588)4123928-3 s Python Programmiersprache (DE-588)4434275-5 s R Programm (DE-588)4705956-4 s DE-604 Erscheint auch als Druck-Ausgabe, Hardcover 9781032041742 Erscheint auch als Druck-Ausgabe, Paperback 9781032046631 Erscheint auch als Online-Ausgabe 9781003194156 https://doi.org/10.1201/9781003194156 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | McNulty, Keith Handbook of regression modeling in people analytics with examples in R and Python R Programm (DE-588)4705956-4 gnd Humanvermögen (DE-588)4240300-5 gnd Personaldaten (DE-588)4123928-3 gnd Regressionsanalyse (DE-588)4129903-6 gnd Python Programmiersprache (DE-588)4434275-5 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4240300-5 (DE-588)4123928-3 (DE-588)4129903-6 (DE-588)4434275-5 |
| title | Handbook of regression modeling in people analytics with examples in R and Python |
| title_auth | Handbook of regression modeling in people analytics with examples in R and Python |
| title_exact_search | Handbook of regression modeling in people analytics with examples in R and Python |
| title_exact_search_txtP | Handbook of regression modeling in people analytics with examples in R and Python |
| title_full | Handbook of regression modeling in people analytics with examples in R and Python |
| title_fullStr | Handbook of regression modeling in people analytics with examples in R and Python |
| title_full_unstemmed | Handbook of regression modeling in people analytics with examples in R and Python |
| title_short | Handbook of regression modeling in people analytics |
| title_sort | handbook of regression modeling in people analytics with examples in r and python |
| title_sub | with examples in R and Python |
| topic | R Programm (DE-588)4705956-4 gnd Humanvermögen (DE-588)4240300-5 gnd Personaldaten (DE-588)4123928-3 gnd Regressionsanalyse (DE-588)4129903-6 gnd Python Programmiersprache (DE-588)4434275-5 gnd |
| topic_facet | R Programm Humanvermögen Personaldaten Regressionsanalyse Python Programmiersprache |
| url | https://doi.org/10.1201/9781003194156 |
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