A New Sampling Estimate Method Base on Bayesian

摘要：

Base on the Bayesian statistics principal, this paper presents a new sampling estimate method, the weighted mean estimate method. The method corrects mean of sample by using priori information of population parameter and weighted of amendment. The formula has good mathematical nature, not only improve the accuracy of sample estimates, but also apply unbiased estimator theory and expand sample estimate method. Comparison of then traditional sampling estimate method with weighted mean estimate, Variance of sample estimates is lesser than before.

关键词： Sample Estimate Weight Mean Bayesian Statistics Priori Information

作者: WANG Jianjun

作者单位: Statistics and Information college of XinJiang Finance and Economics University, P.R.China, 830012

会议类型: 国际会议

会议名称: 2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)

会议地点: 青岛

会议语种:英文

页码: 1-5

在线出版日期: 2009-07-25（万方平台首次上网日期，不代表论文的发表时间）