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区间数据情形下线性模型的经验似然推断
作者姓名:He  Qixiang  Zheng  Ming
作者单位:[1]Department of Applied Mathematics, Shanghai University of Finance and Economics, Shanghai 200433,China. [2]Department of Statistics,Fudan University,Shanghai 200433,China
摘    要:§1Introduction Instatisticalapplications,weoftenencounterintervalcensoreddatawhenafailure timeYcannotbeobserved,butcanonlybedeterminedtolieinanintervalobtainedfroma sequenceofexaminationtimes.Forinstance,themaximumdosagewhichpatientscan endureisconcerned.LetYibethemaximumdosagewhichtheithpatientcanendure,Ui,j(j=1,2,...,k)bethedosagewhichthepatienthasbeentested.ItisobviousthatYiis unobservable.SupposetheithpatientisnormalwhenthedosageisUi,j,andhe(orshe)is abnormalwhenthedosageisUi,j+1.Then…

关 键 词:经验主义  可能性  评估系数  线性模型  数据分析
收稿时间:2005-01-19

Empirical likelihood-based inference in linear models with interval censored data
He Qixiang Zheng Ming.Empirical likelihood-based inference in linear models with interval censored data[J].Applied Mathematics A Journal of Chinese Universities,2005,20(3):338-346.
Authors:He Qixiang  Zheng Ming
Institution:(1) Department of Applied Mathematics, Shanghai University of Finance and Economics, 200433 Shanghai, China;(2) Department of Statistics, Fudan University, 200433 Shanghai, China
Abstract:An empirical likelihood approach to estimate the coefficients in linear model with interval censored responses is developed in this paper. By constructing unbiased transformation of interval censored data,an empirical log-likelihood function with asymptotic X^2 is derived. The confidence regions for the coefficients are constructed. Some simulation results indicate that the method performs better than the normal approximation method in term of coverage accuracies.
Keywords:interval censored data  linear model  empirical likelihood  unbiased transformation  
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