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Estimation of Small Area Proportions Under a Bivariate Logistic Mixed Model
Angelo Moretti
Leerstoel Heijden
Methodology and statistics for the behavioural and social sciences
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Dive into the research topics of 'Estimation of Small Area Proportions Under a Bivariate Logistic Mixed Model'. Together they form a unique fingerprint.
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Keyphrases
Small Area
100%
Bivariate
100%
Logistic Mixed Model
100%
Area Proportion
100%
Small Area Estimation
60%
Logit Link
40%
Link Function
40%
Generalized Mixed Models
40%
Univariate Methods
40%
Labor Force
20%
Simulation Study
20%
Response Variable
20%
Random Effects
20%
Efficiency Improvement
20%
Intraclass Correlation Coefficient
20%
Auxiliary Information
20%
Estimation Problem
20%
Correlation Degree
20%
Area-level
20%
Social Exclusion
20%
Binary Variables
20%
National Sample Survey
20%
Efficient Estimates
20%
Estimation of Proportion
20%
Mathematics
Bivariate
100%
Mixed Model
100%
Logit Link Function
40%
Simulation Study
20%
Intraclass Correlation
20%
Good Property
20%
Response Variable
20%
Auxiliary Information
20%
Sample Survey
20%
Random Effect
20%
Parameter Estimate
20%