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Volumn 12, Issue 6, 2000, Pages 837-859

Robust Designs for Wavelet Approximations of Regression Models

Author keywords

A optimality; D optimality; G optimality; Haar basis; Minimax robust; Minimum variance unbiased; Multiwavelet system; Nonparametric regression; Q optimality; Regressogram; Wavelets; Weighted least squares

Indexed keywords


EID: 0001690955     PISSN: 10485252     EISSN: None     Source Type: Journal    
DOI: 10.1080/10485250008832837     Document Type: Article
Times cited : (19)

References (26)
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  • 7
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  • 11
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    • An Optimal Experimental Design for the Haar Regression Model
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    • Herzberg, A.M.1    Traves, W.N.2
  • 12
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    • Robustness and Designs
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    • Meyer, Y.1
  • 19
    • 0041109337 scopus 로고
    • Some Model Robust Designs in Regression
    • Sacks, J. and Ylvisaker, D. (1984) "Some Model Robust Designs in Regression", The Annals of Statistics, 12, 1324-1348.
    • (1984) The Annals of Statistics , vol.12 , pp. 1324-1348
    • Sacks, J.1    Ylvisaker, D.2
  • 20
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    • Wavelets and Dilation Equations: A Brief Introduction
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  • 22
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    • Pointwise Convergence of Wavelet Expansions
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  • 23
  • 25
    • 0032283062 scopus 로고    scopus 로고
    • Minimax Robust Designs and Weights for Approximately Specified Regression Models with Heteroscedastic Errors
    • Wiens, D. P. (1998) "Minimax Robust Designs and Weights for Approximately Specified Regression Models with Heteroscedastic Errors", Journal of the American Statistical Association, 93, 1440-1450.
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  • 26
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    • Robust Weights and Designs for Biased Regression Models: Least Squares and Generalized M-estimation
    • to appear
    • Wiens, D. P. (1999) "Robust Weights and Designs for Biased Regression Models: Least Squares and Generalized M-estimation", Journal of Statistical Planning and Inference, to appear.
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    • Wiens, D.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.