Visualization and Imputation of Missing Values

With Applications in R

Matthias Templ (Autor)

Buch | Softcover

XXII, 462 Seiten

2024
Springer International Publishing (Verlag)
978-3-031-30075-2 (ISBN)

Inhalt

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.

Produkt-Details

• Erscheinungsdatum: 01.12.2024
• Reihe/Serie: Statistics and Computing
• Zusatzinfo: XXII, 462 p. 143 illus., 119 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Maße: 155 x 235 mm
• Themenwelt: Informatik ► Software Entwicklung ► User Interfaces (HCI)
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Schlagworte: deep learning based imputation methods • imputation methods for compositional data • imputation of missing data • imputation quality • incomplete data • missing data • multiple imputation • pre-analysis of data • robust imputation methods • R package • Simulation • simulation designs for imputation quality evaluation • visualization of missing values
• ISBN-10: 3-031-30075-0 / 3031300750
• ISBN-13: 978-3-031-30075-2 / 9783031300752
• Zustand: Neuware