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Volumn 70, Issue 1, 1999, Pages 57-65

A central limit theorem for local polynomial backfitting estimators

(1)  Wand, M P a  

a NONE

Author keywords

Additive models; Kernel smoothing; Limiting distribution; Regression functionals

Indexed keywords


EID: 0033164029     PISSN: 0047259X     EISSN: None     Source Type: Journal    
DOI: 10.1006/jmva.1999.1812     Document Type: Article
Times cited : (15)

References (15)
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  • 2
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  • 4
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    • (1998) Ann. Satist. , pp. 943-971
    • Fan, J.1    Härdle, W.2    Mammen, E.3
  • 6
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    • A method for handling curvilinear correlation for any number of variables
    • 6. M. Ezekiel, A method for handling curvilinear correlation for any number of variables, J. Amer. Statist. Assoc. 19 (1924), 431-453.
    • (1924) J. Amer. Statist. Assoc. , vol.19 , pp. 431-453
    • Ezekiel, M.1
  • 7
    • 84995076577 scopus 로고
    • On the backfitting algorithm for additive regression models
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    • (1993) Statist. Neerlandica , vol.47 , pp. 43-57
    • Härdle, W.1    Hall, P.2
  • 9
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    • A kernel method of estimating structured nonparametric regression based on marginal integration
    • 9. O. B. Linton and J. P. Nielsen, A kernel method of estimating structured nonparametric regression based on marginal integration, Biometrika 82 (1995), 93-101.
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  • 12
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    • Fitting a bivariate additive model by local polynomial regression
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    • (1997) Ann. Statist. , vol.25 , pp. 186-211
    • Opsomer, J.-D.1    Ruppert, D.2
  • 13
    • 0032390645 scopus 로고    scopus 로고
    • A fully automated bandwidth selection method for fitting additive models
    • 13. J.-D. Opsomer and D. Ruppert, A fully automated bandwidth selection method for fitting additive models, J. Amer. Statist. Assoc. 93 (1998), 605-619.
    • (1998) J. Amer. Statist. Assoc. , vol.93 , pp. 605-619
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  • 14
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    • Multivariate locally weighted least squares regression
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    • Ruppert, D.1    Wand, M.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.