Modified Variance Estimation for Unequal Probability Sampling without Replacement When the Size of Sample Is Larger than Two

摘要：

In order to solve the problem of computing complex variance estimator for unequal probability sampling without replacement, this paper uses Hajek approach and obtains the approximation of joint inclusion probability. Thus, the Hajek variance approximation and the estimator of Hajek variance are acquired. At last, we conclude that unequal probability sampling without replacement is easily implemented when the size of sample is larger than two because of the simplicity of computing variance through the analysis of practical data.

关键词： unequal probability sampling without replacement inclusion probabilities horvitzthompson estimator sen-yates-grundy variance estimator

作者: CHEN Guanghui LIU Jianping

作者单位: Department of Statistics, College of Economics, Jinan University, Guangzhou, P.R.China, 510632

会议类型: 国际会议

会议名称: The 3rd International Institute of Statistics & Management Engineering Symposium(2010 国际统计与管理工程研讨会 IISMES)

会议地点: 威海

会议语种:英文

页码: 407-411

在线出版日期: 2010-07-24（万方平台首次上网日期，不代表论文的发表时间）