摘要
目的:百分位数是用于描述计量资料尤其是偏态分布资料极为常用的指标体系,百分位数的估计值亦不例外存在误差,本文介绍了百分位数的两种区间估计方法。方法:其一是基于原始数据的非参数的bootstrap估计,其二是基于二项分布原理的近似方法。结果:非参数的bootstrap估计的结果与二项分布近似法一致,特别是.在数据变异不是很大时,B＝200,近似程度已较高:在数据变异较大时,B＝1000,近似程度亦较满意。结论:不论原始数据的分布如何,百分位数的区间估计可用bootstrap估计。
Objective: Percentile is a common used statistics to describe the tolerance intervals.reference. normal values and quartile regression, especially for non-normal distribution data. But there is some sampling errorr in the estimation of percentile. Thus it is necessary for us to study on interval estimation of percentile. Method: Bootstrap method and binomial distribution method were discussed and compared. Results: The bootstrap estimator is approximate to the estimation based on the binomial distribution when B=200 if the sampling error of data is smaller and B=1000 if bigger,Conclusion; The confidence interval of percentile coule be estimated by means of bootstrap method in spite of the distribution of data.
出处
《镇江医学院学报》
1998年第4期449-450,共2页
Journal of Zhenjiang Medical College
关键词
百分位数
区间估计
二项分布
估计误差
Percentile
Interval estimation
Bootstrap estimation
Binomial distribution method
Estimated error
