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来源：百度知道 编辑：UC知道 时间：2024/06/07 20:12:54
BAYESIAN INFERENCE FOR SMALL AREA PROPORTIONS
SUMMARY.Direct survey estimators for small areas are often unstable due to the small(or nonexistent)samples taken from these areas.Estimators with less variability can be derived by
”borrowing strength”from related areas.In this study,a hierarchical Bayes methodology forestimating small area proportions is proposed.The idea consists of incorporating random effects which reflect the structure of the sample design into a logistic regression model.A data example involving the estimation of local labour force participation rates is presented.Comparisons are drawn with an empirical Bayes approach used by Farrell,MacGibbon,and Tomberlin(1997a),and
an analogous procedure which incorporates a modification to the Laird and Louis(1987)Type III bootstrap suggested by Carlin and Gelfand(1991).
别用软件来忽我！
SUMMARY.Direct survey estimators for small areas are often unstable due to the small(or nonexistent)samples taken from these areas.Estimators with less variability can be derived by
”borrowing strength”from related areas.In this study,a hierarchical Bayes methodology forestimating small area proportions is proposed.The idea consists of incorporating random effects which reflect the structure of the sample design into a logistic regression model.A data example involving the estimation of local labour force participation rates is presented.Comparisons are drawn with an empirical Bayes approach used by Farrell,MacGibbon,and Tomberlin(1997a),and
an analogous procedure which incorporates a modification to the Laird and Louis(1987)Type III bootstrap suggested by Carlin and Gelfand(1991).
别用软件来忽我！
贝叶斯推理为小面积的比例
summary.direct调查估计的小地区往往是不稳定的，由于小（或不存在）的样本，从这些areas.estimators较少的变异可以得到由
“借实力” ，从相关areas.in这项研究中，分层贝叶斯方法forestimating小面积的比例，提出了思想，构成纳入随机效应，反映了结构的样本设计成为一个Logistic回归model.a数据为例，涉及的估计本地的劳动人口参与率是presented.comparisons得出一个经验Bayes方法，所用的法瑞尔， macgibbon ， tomberlin （ 1997年） ，以及
类似的程序，其中包括修改向莱尔德和路易（ 1987年） III型的Bootstrap所建议的卡林和gelfand （ 1991年） 。
什么叫忽你 我多余还给你查下 那你问问题时候说好
小范围比例的贝叶斯定理推断
SUMMARY.Direct小范围的调查估计物经常不稳定归结于从这些区域拿取的小(或不存在的)样品。与较少可变性的估计物可以获得
”借用力量”从相关区域。在这项研究中， forestimating小范围比例的等级制度的贝斯方法学提议。想法包括合并反射范例设计结构入一个后勤回归模型的任意作用。提出介入地方劳动力参与率的估计的数据例子。比较得出与Farrell、MacGibbon和Tomberlin使用的一种经验主义的贝斯方法(1997a)，和
合并对地主和路易斯的一个近似做法(1987)类型Carlin和Gelfand建议的III引导的修改(1991)。
帮不上忙啦 还在学习中。。。