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Some large sample properties of an estimator of the hazard function from randomly censored data
Wang, QH
1997
Source PublicationACTA MATHEMATICA SCIENTIA
ISSN0252-9602
Volume17Issue:2Pages:230-240
AbstractIn this paper, A nonparametric hazard estimator is introduced. Weak convergence and strong uniformly consistency of the proposed estimator lambda(n)(t) are investigated on a bounded interval, respectively. An asymptotic representation of lambda(n)(t) is also given, and the asymptotic representation is used to prove asymptotic normality of the hazard estimator.
Keywordweak convergence strong consistency asymptotic representation asymptotic normality
Language英语
WOS Research AreaMathematics
WOS SubjectMathematics
WOS IDWOS:A1997XB24700013
PublisherBALTZER SCI PUBL BV
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Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/29007
Collection中国科学院数学与系统科学研究院
AffiliationCHINESE ACAD SCI,INST APPL MATH,BEIJING 100080,PEOPLES R CHINA
Recommended Citation
GB/T 7714
Wang, QH. Some large sample properties of an estimator of the hazard function from randomly censored data[J]. ACTA MATHEMATICA SCIENTIA,1997,17(2):230-240.
APA Wang, QH.(1997).Some large sample properties of an estimator of the hazard function from randomly censored data.ACTA MATHEMATICA SCIENTIA,17(2),230-240.
MLA Wang, QH."Some large sample properties of an estimator of the hazard function from randomly censored data".ACTA MATHEMATICA SCIENTIA 17.2(1997):230-240.
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