We show that a nonparametric estimator of a regression function, obtained as solution of a specific regularization problem is the best linear unbiased predictor in some nonparametric mixed effect model. Since this estimator is intractable from a numerical point of view, we propose a tight approximat
Testing variances in wavelet regression models
β Scribed by Alwell J. Oyet; Brajendra Sutradhar
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 209 KB
- Volume
- 61
- Category
- Article
- ISSN
- 0167-7152
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