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Asymptotic efficiency in semiparametric models
Hua, LA
1996-02-01
Source PublicationPROGRESS IN NATURAL SCIENCE
ISSN1002-0071
Volume6Issue:1Pages:26-35
AbstractSuppose that Y=X(tau)beta+g (T)+epsilon, where g is a smooth but unknown function, beta is a k x 1 parameter vector to be estimated. An asymptotically efficient estimator of beta is constructed based on {Y-i, X(i), T-i i=1,...,n} when the density functions of(X, T) and epsilon are unknown.
Keywordasymptotic efficiency adaptive estimation semiparametric model
Language英语
WOS Research AreaMaterials Science ; Science & Technology - Other Topics
WOS SubjectMaterials Science, Multidisciplinary ; Multidisciplinary Sciences
WOS IDWOS:A1996UE38100004
PublisherTAYLOR & FRANCIS LTD
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Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/28779
Collection中国科学院数学与系统科学研究院
AffiliationCHINESE ACAD SCI,INST SYST SCI,BEIJING 100080,PEOPLES R CHINA
Recommended Citation
GB/T 7714
Hua, LA. Asymptotic efficiency in semiparametric models[J]. PROGRESS IN NATURAL SCIENCE,1996,6(1):26-35.
APA Hua, LA.(1996).Asymptotic efficiency in semiparametric models.PROGRESS IN NATURAL SCIENCE,6(1),26-35.
MLA Hua, LA."Asymptotic efficiency in semiparametric models".PROGRESS IN NATURAL SCIENCE 6.1(1996):26-35.
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