Optimal Bandwidth selection in M-type estimate of the regression function in associated and left-truncated model
Asma Gheliem  1, 2, @  , Zohra Guessoum  2, *, @  
1 : MSTD  -  Website
Faculty of Mathematics, USTHB, Po. Box 32, El-Alia 16111, Algiers, Algeria -  Algeria
2 : Faculty of Mathematics,MSTD, USTHB  -  Website
Faculty of Mathematics, USTHB, Po. Box 32, El-Alia 16111, Algiers, Algeria -  Algeria
* : Corresponding author

The choice of the smoothing parameter, or bandwidth, is crucial to the effective performance of the estimator.
In this contribution we are interested by a bandwidth-selection rule in the M-type estimation of the regression function in associated and left-truncated model .

Subject : : Oral
Topics : Probability ans statistics
Keywords : bandwidth ; selection ; M ; estimator ; Associated data ; truncated data
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