Adjusted variance estimators based on minimizing mean squared error for stratified random samples

In the realm of survey data analysis, encountering substantial variance relative to bias is a common occurrence. In this study, we present an innovative strategy to tackle this issue by introducing slightly biased variance estimators. These estimators incorporate a constant c within the range of 0 t...

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Detalles Bibliográficos

Autores principales:	Guoyi Zhang, Bruce Swan
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Taylor & Francis Group 2024-04-01
Colección:	Statistical Theory and Related Fields
Materias:	Biased variance estimator mean squared error simulations stratified random sampling survey data
Acceso en línea:	https://www.tandfonline.com/doi/10.1080/24754269.2024.2303915
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