Combining multiple imperfect data sources for small area estimation:a Bayesian model of provincial fertility rates in Cambodia

作     者：Junni L.Zhang John Bryant 

作者机构：Guanghua School of ManagementCenter for Statistical Science and Center for Data SciencePeking UniversityBeijingPeople’s Republic of China Bayesian Demography LimitedChristchurchNew Zealand 

出 版 物：《Statistical Theory and Related Fields》 (统计理论及其应用（英文）)

年 卷 期：2019年第3卷第2期

页      面：178-185页

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：Measurement error Bayesian hierarchical model coverage errors fertility Cambodia small area estimation 

摘      要：Demographic estimation becomes a problem of small area estimation when detaileddisaggregation leads to small cell *** usual difficulties of small area estimation are compounded when the available data sources contain measurement *** present a Bayesianapproach to the problem of small area estimation with imperfect data *** overall modelcontains separate submodels for underlying demographic processes and for measurement *** unknown quantities in the model,including coverage ratios and demographic rates,are estimated jointly via Markov chain Monte Carlo *** approach is illustrated usingthe example of provincial fertility rates in Cambodia.