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变量为区间截断数据时回归模型的参数估计(英文)
引用本文:丁帮俊. 变量为区间截断数据时回归模型的参数估计(英文)[J]. 应用概率统计, 2012, 28(2): 143-149
作者姓名:丁帮俊
作者单位:华东师范大学金融与统计学院,上海,200241
基金项目:supported by the National Natural Science Foundation of China(10671072)
摘    要:在假设自变量X的分布为离散未知分布且样本为区间截断数据而因变量Y是可观察的情况下,利用EM方法得到了回归参数的极大似然估计,在一定的条件下估计量的分布为渐近正态的.

关 键 词:回归  区间数据  EM算法  渐近正态

Regression Model with an Interval-Censored Data Covariant
DING BANGJUN. Regression Model with an Interval-Censored Data Covariant[J]. Chinese Journal of Applied Probability and Statisties, 2012, 28(2): 143-149
Authors:DING BANGJUN
Affiliation:School of Finance and Statistics, East China Normal University
Abstract:A likelihood approach,together with a EM-type algorithm,to jointly estimate the regression coefficient as well as the marginal distribution of the covariant in regression model with an intervalcensored data covariant is developed.Under certain conditions the procedures are convergent,and the resulting estimators are asymptotically normal.
Keywords:Regression  interval data  EM-type algorithm  asymptotically normal
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