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Volumn 4, Issue 3, 1983, Pages 185-207

NONPARAMETRIC ESTIMATORS FOR TIME SERIES

Author keywords

central limit theorem; Kernel estimators; nonlinear prediction; non Gaussian time series models; stationary time series; strong mixing condition

Indexed keywords


EID: 84986849734     PISSN: 01439782     EISSN: 14679892     Source Type: Journal    
DOI: 10.1111/j.1467-9892.1983.tb00368.x     Document Type: Article
Times cited : (309)

References (37)
  • 1
    • 51249186182 scopus 로고
    • Strong Consistency of Density Estimation by Orthogonal Series Methods for Dependent Variables with Applications
    • (1979) Ann. Inst. Statist. Math. , vol.31 , pp. 279-288
    • Ahmad, I.A.1
  • 11
    • 0348099626 scopus 로고
    • The Estimation of a Nonlinear System.
    • edited by, R. S. Anderssen, L. S. Jennings, D. M. Ryan, University of Queensland Press, : St. Lucia, pp.
    • (1972) Optimization , pp. 69-85
    • Hannan, E.J.1    Boston, R.C.2
  • 20
    • 84986819334 scopus 로고
    • The Strong Mixing Property of the Autoregressive Moving Average Time Series Model. Seminaire de Statistique,Grenoble
    • (1980) , pp. 59-76
    • Pham, T.D.1    Tran, L.T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.