Visualization and Imputation of Missing Values
portes grátis
Visualization and Imputation of Missing Values
With Applications in R
Templ, Matthias
Springer International Publishing AG
11/2023
462
Dura
Inglês
9783031300721
15 a 20 dias
Descrição não disponível.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
missing data;imputation of missing data;visualization of missing values;R package;incomplete data;simulation;multiple imputation;robust imputation methods;imputation methods for compositional data;deep learning based imputation methods;imputation quality;simulation designs for imputation quality evaluation;pre-analysis of data
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
missing data;imputation of missing data;visualization of missing values;R package;incomplete data;simulation;multiple imputation;robust imputation methods;imputation methods for compositional data;deep learning based imputation methods;imputation quality;simulation designs for imputation quality evaluation;pre-analysis of data
