首页> 外文期刊>Journal of applied statistics >Designing stratified sampling in economic and business surveys
【24h】

Designing stratified sampling in economic and business surveys

机译:在经济和商业调查中设计分层抽样

获取原文
获取原文并翻译 | 示例
       

摘要

In most economic and business surveys, the target variables (e.g. turnover of enterprises, income of households, etc.) commonly resemble skewed distributions with many small and few large units. In such surveys, if a stratified sampling technique is used as a method of sampling and estimation, the convenient way of stratification such as the use of demographical variables (e.g. gender, socioeconomic class, geographical region, religion, ethnicity, etc.) or other natural criteria, which is widely practiced in economic surveys, may fail to form homogeneous strata and is not much useful in order to increase the precision of the estimates of variables of interest. In this paper, a stratified sampling design for economic surveys based on auxiliary information has been developed, which can be used for constructing optimum stratification and determining optimum sample allocation to maximize the precision in estimate.
机译:在大多数经济和商业调查中,目标变量(例如企业的营业额,家庭收入等)通常类似于带有许多小单位和很少大单位的偏斜分布。在此类调查中,如果使用分层抽样技术作为抽样和估计方法,则分层的便捷方法是诸如人口统计学变量(例如性别,社会经济阶层,地理区域,宗教,种族等)的使用或其他经济调查中广泛采用的自然标准可能无法形成同质层,并且对于提高目标变量的估算精度没有太大用处。本文开发了一种基于辅助信息的经济调查分层抽样设计方法,该方法可用于构建最优分层和确定最优样本分配,从而最大程度地提高估算精度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号