Visualization and Imputation of Missing Values With Applications in R
This book explores visualization and imputation techniques for missing values and presents practical applications using the statistical software R. It explains the concepts of common imputation methods with a focus on visualization, description of data problems and practical solutions using R, inclu...
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2023, 2023
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| Edition: | 1st ed. 2023 |
| Series: | Statistics and Computing
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Preface
- 1 Topic-focused Introduction to R and Data Sets Used
- 2 Distribution, Pre-analysis of Missing Values and Data Quality
- 3 Detection of the Missing Values Mechanism with Tests and Models
- 4 Visualisation of Missing Values
- 5 General Considerations on Univariate Methods, Single and Multiple Imputation
- 6 Deductive Imputation and Outlier Replacement
- 7 Imputation Without a Model
- 8 Model-based Methods
- 9 Non-linear Methods
- 10 Methods for compositional data
- 11 Evaluation of the Quality of Imputation
- 12 Simulation of Data for Simulation Studies