摘要
利用指数分布的若干个样本分位数,建立线性回归模型,由获得的广义最小二乘估计的渐近正态性,得到分组数据场合分布参数的渐近置信估计.在样本足够大的情况下,该方法简单有效.
By using several sample quantilcs of exponential distribution, the linear regression model estab-lished. The generalized least squares estimation is a progressive state. Under grouped data situation, the distribution parameters are of gradual confidence interval estimation. The method is simple and effective when the sample is large enough.
出处
《佳木斯大学学报（自然科学版）》
CAS
2008年第1期108-109,113,共3页
Journal of Jiamusi University：Natural Science Edition
关键词
分组数据
指数分布
样本分位数
广义最小二乘估计
区间估计
grouped data
exponential distribution
sample quantiles
genemlized least squares estimation
interval estimation
