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Least squares estimators of the regression function with twice censored data |
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| Authors: | K Kebabi I Laroussi F Messaci |
| Institution: | |
| Abstract: | We propose least squares estimators of E(Y/X=x) for Y censored on the right by R and min(Y,R) left censored. We establish their convergence in the L2-norm. This work extends a known result in the context of right censoring. |
| Keywords: | Regression estimators Least squares estimators Twice censored data Convergence in the _method=retrieve& _eid=1-s2 0-S0167715211002124& _mathId=si6 gif& _pii=S0167715211002124& _issn=01677152& _acct=C000051805& _version=1& _userid=1154080& md5=9911e016ee32c4de84d80aaba0419aef')" style="cursor:pointer L2-norm" target="_blank">" alt="Click to view the MathML source" title="Click to view the MathML source">L2-norm |
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