Smoothing Parameter Selection For A New Regression Estimator For Non-Negative Data
In this thesis, the CV selection technique is applied into Chaubey, Laib and Sen (2008)'s estimator, which is a new regression estimation for nonnegative random variables. The estimator is based on a generalization of Hille's lemma and a perturbation idea. The first and second order MSE ar...
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| Format: | Others |
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2009
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| Online Access: | http://spectrum.library.concordia.ca/976444/1/MR63095.pdf He, Baohua <http://spectrum.library.concordia.ca/view/creators/He=3ABaohua=3A=3A.html> (2009) Smoothing Parameter Selection For A New Regression Estimator For Non-Negative Data. Masters thesis, Concordia University. |