Estimation for the aymptotic variance of parametric estimates in partial linear model with censored data

Acta Mathematica Scientia

Volumn 16, Issue 2, 1996, Pages 192-208

  Qin, Gengsheng ^a   Cai, Lei ^a  

^a SICHUAN UNIVERSITY   (China)

Author keywords

Asymptotic normality; Censored data; Kernel method; Partial linear model; The law of the iterated logarithm

Indexed keywords

EID: 0042742258     PISSN: 02529602     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0252-9602(17)30794-4     Document Type: Article

References (8)

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2. Qin G.S. Asymptotic theory for estimation of partial linear Model with Censored data. Beijing: Bulletin of the international statistical institute, 1995, Book 2:997-998.
3. Speckman P. Kernel smoothing in partial linear model. J.R.S.S., 1988, 50B:413-436.
4. Zheng Z K. A class of estimator for the parameter in linear regression with censored data. Acta mathematica applicatae sinica, 1987,3:231-241.
5. Mack Y P. Silverman B W. Weak and strong uniform consistency of kernel regression estimates. Z.wahrscheinlichkeitstheorie verw. Gebiete, 1982, 61:405-415.
6. Gu M G, Lai T L. Functional laws of the iterated logarithm for the product-limit estimator of a function under random censorship or truncation. Ann. Prabab., 1990,18:160-189.
7. Hong S Y, Cheng P. The Berry-Esseen Bound of the estimate for parametric components in a semi-parametric regression model. Technical Report of Institute of Systems Sciences, Academia Sinica, 1992.
8. Hong S Y, Cheng P. The convergent rates for the parametric estimate in a semiparametric regression model. Chin. J. of Appl. Probab. and Statist, 1994, 10:62-71.