The Consistency of Nonlinear Regression Minimizing the $L_1$-Norm
Oberhofer, Walter
Ann. Statist., Tome 10 (1982) no. 1, p. 316-319 / Harvested from Project Euclid
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We consider conditions in a nonlinear regression model for the consistency of the estimator obtained by minimizing the $L_1$-norm, i.e. the sum of absolute deviations.
Publié le : 1982-03-14
Classification:  Nonlinear regression,  $L_1$-norm,  consistency,  62F12,  62J07 
@article{1176345716,
     author = {Oberhofer, Walter},
     title = {The Consistency of Nonlinear Regression Minimizing the $L\_1$-Norm},
     journal = {Ann. Statist.},
     volume = {10},
     number = {1},
     year = {1982},
     pages = { 316-319},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1176345716}
}

Oberhofer, Walter. The Consistency of Nonlinear Regression Minimizing the $L_1$-Norm. Ann. Statist., Tome 10 (1982) no. 1, pp.  316-319. http://gdmltest.u-ga.fr/item/1176345716/