Skip to main navigation
Skip to search
Skip to main content
Utrecht University Home
Help & FAQ
Home
People
Research units
Research output
Activities
In the media
Prizes & Grants
Search by expertise, name or affiliation
Restrictive Imputation of Incomplete Survey Data
G. Vink
Chair Heijden
Methodology and Statistics
Research output
:
Thesis
›
Doctoral thesis 1 (Research UU / Graduation UU)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Restrictive Imputation of Incomplete Survey Data'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Survey Data
100%
Imputation Model
100%
Compositional Data
100%
Imputation Approach
100%
Simulation Study
50%
Multilevel Data
50%
Sample Variance
50%
Social Statistics
50%
Data Transformation
50%
Compositional Structure
25%
Social Sciences
25%
Realistic Scenario
25%
Range of Values
25%
Incomplete Data
25%
Valid Inference
25%
Imputation Strategy
25%
Multiple Imputation
25%
Intraclass Correlation Coefficient
25%
Design Basis
25%
Clustered Data
25%
Semi-continuous
25%
Simulation Approach
25%
Square Root
25%
Class Structure
25%
Continuous Values
25%
Multilevel Structure
25%
Point Mass
25%
Imputation Techniques
25%
Theoretical Distribution
25%
Missing Data Problem
25%
Zero-inflated Data
25%
Specific Interest
25%
Mathematics
Simulation Study
100%
Sampling Variance
100%
Survey Data
100%
Data Transformation
100%
Multiple Imputation
50%
Incomplete Data
50%
Intraclass Correlation
50%
correlation coefficient ρ
50%
Theoretical Distribution
50%
Point Mass
50%
Analysis Model
50%
Common Share
50%
Data Structure
50%
Real Life
50%
Square Root
50%
Clustered Data
50%