三峡大学学报（自然科学版）2011，Vol.33Issue(4)：101-103,3.
两指数总体带缺失数据的参数估计和检验
Estimation and Test for Two Exponential Populations with Missing Data
摘要
Abstract
The maximum likelihood estimation and the test for parameters of two exponential populations both with missing data are discussed. The strong consistency and asymptotic normality of estimators are both proved by Slutsky theorem. The test of hypothesis of the populations and the confidence interval of the difference between two parameters are also given based on the limit distribution discussed in this paper.关键词
缺失数据/极大似然估计/假设检验/渐近置信区间Key words
missing data/ maximum likelihood estimation/ test of hypothesis/ asymptotic confidence interval分类
数理科学引用本文复制引用
苏曦,郭鹏江,夏志明..两指数总体带缺失数据的参数估计和检验[J].三峡大学学报（自然科学版）,2011,33(4):101-103,3.基金项目
国家自然科学基金专项基金项目(11026135) （11026135）
陕西省13115科技创新工程(2009ZDTG-85) （2009ZDTG-85）
