Small area estimation of proportions under area-level compositional mixed models
Small area estimation of proportions under area-level compositional mixed models
复制标题
面积级成分混合模型下的小面积比例估计
DOI：
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复制
发表时间：
2019
期刊：
影响因子：
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通讯作者：
A. Pérez
中科院分区：
文献类型：
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作者：
M. D. Esteban;M. Lombardía;Esther López;D. Morales;A. Pérez
本文通过对多元Fay-Herriot模型进行变换，引入了区域级组合混合模型。在此基础上推导出分类变量类别比例的小面积估计量，并利用参数自举法估计相应的均方误差。为了分析所引入的估计器的行为，进行了几个仿真实验。本文给出了2017年第一季度西班牙加利西亚（西班牙西北部）劳动力调查的实际数据。目标是估计四类可变劳工状况的人口比例：16岁以下、就业、失业和不活动。
This paper introduces area-level compositional mixed models by applying transformations to a multivariate Fay–Herriot model. Small area estimators of the proportions of the categories of a classification variable are derived from the new model, and the corresponding mean squared errors are estimated by parametric bootstrap. Several simulation experiments designed to analyse the behaviour of the introduced estimators are carried out. An application to real data from the Spanish Labour Force Survey of Galicia (north-west of Spain), in the first quarter of 2017, is given. The target is the estimation of domain proportions of people in the four categories of the variable labour status: under 16 years, employed, unemployed and inactive.
小面积比例的推论。
DOI：
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发表时间：
2012
期刊：
Journal of the Indian Society of Agricultural Statistics. Indian Society of Agricultural Statistics
影响因子：
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作者：
Chen,Shijie;Lahiri,P
通讯作者：
Lahiri,P