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  • 标题:Exact Wavelet Designs for Discrimination
  • 本地全文:下载
  • 作者:Yi Liu ; Memorial University of Newfoundland ; Canada Alwell J. Oyet
  • 期刊名称:Sankhya. Series A, mathematical statistics and probability
  • 印刷版ISSN:0976-836X
  • 电子版ISSN:0976-8378
  • 出版年度:2006
  • 卷号:68
  • 期号:04
  • 出版社:Indian Statistical Institute
  • 摘要:We discuss the construction of minimax Bayesian T-optimal, D-ratio optimal and sequential G-optimal designs for discrimination between competing wavelet representations of nonparametric regression models. In our examples we use the multiwavelet and Daubechies wavelet systems. We find that symmetry is an important property of designs for multiwavelet models, whereas designs for Daubechies wavelet models are nonsymmetric.
  • 关键词:Daubechies wavelet, D-optimality, multiwavelet, nonparametric regression, T-optimality, sequential designs, weighted least squares.
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