改进的链式双抽样总体估计方法

IF 1.4 3区社会学 Q3 DEMOGRAPHY

Mathematical Population Studies Pub Date : 2019-06-19 DOI:10.1080/08898480.2019.1626635

Saurav Guha, Hukum Chandra

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引用次数: 1

摘要

链比率估计量通常用于使用两个不同阶段可用的辅助变量来提高总体总数或平均值估计的效率。当辅助信息对第一个变量可用而对第二个变量不可用时，提出了一种基于双采样的改进的总体链比率估计器。对于大样本，获得了该估计器的偏差和均方误差。使用基于模型和基于设计的模拟进行的经验评估表明，所提出的估计器的性能优于比率、回归和差分估计器。

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Improved chain-ratio type estimator for population total in double sampling

ABSTRACT Chain-ratio estimators are often used to improve the efficiency of the estimation of the population total or the mean using two auxiliary variables, available in two different phases. An improved chain-ratio estimator for the population total based on double sampling is proposed when auxiliary information is available for the first variable and not available for the second variable. The bias and the mean square error of this estimator are obtained for a large sample. Empirical evaluations using both model-based and design-based simulations show that the proposed estimator performs better than the ratio, the regression, and the difference estimators.

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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.