存在区域水平相关响应时的小区域估计

IF 1.4 3区社会学 Q3 DEMOGRAPHY

Mathematical Population Studies Pub Date : 2018-01-02 DOI:10.1080/08898480.2017.1408354

L. Bartoli, Maria Chiara Pagliarella, C. Russo, Renato Salvatore

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引用次数: 0

摘要

摘要：相关响应数据的Fay-Herriot区域水平模型通过域间效应进行了扩充。小面积估计的相关响应参数不再需要空间邻接的假设。模拟表明，区域水平的相关响应观测提高了估计的效率，但并没有减少偏差。

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Small-area estimation in the presence of area-level correlated responses

ABSTRACT The Fay-Herriot area-level model for correlated response data is augmented with a between-groups-of-domains effect. Correlated-response parameters of small-area estimates no longer need the assumption of spatial contiguity. A simulation shows that area-level correlated-response observations increase the efficiency of the estimates, but do not reduce the biases.

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来源期刊

Mathematical Population Studies 数学-数学跨学科应用

CiteScore

3.20

自引率

11.10%

发文量

审稿时长

>12 weeks

期刊介绍： Mathematical Population Studies publishes carefully selected research papers in the mathematical and statistical study of populations. The journal is strongly interdisciplinary and invites contributions by mathematicians, demographers, (bio)statisticians, sociologists, economists, biologists, epidemiologists, actuaries, geographers, and others who are interested in the mathematical formulation of population-related questions. The scope covers both theoretical and empirical work. Manuscripts should be sent to Manuscript central for review. The editor-in-chief has final say on the suitability for publication.