Regression rank scores estimation in ANOCOVA
Sen, Pranab Kumar
Ann. Statist., Tome 24 (1996) no. 6, p. 1586-1601 / Harvested from Project Euclid
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In semiparametric ANOCOVA (mixed-effects) models, the role of regression rank scores in robust estimation of fixed-effects parameters as well as covariate regression functionals is critically appraised, and the relevant asymptotic theory is presented.
Publié le : 1996-08-14
Classification:  Asymptotic efficiency and representation,  covariate regression functional,  heteroscedasticity,  regression quantiles,  $R$-estimators,  semiparametric models,  stochastic predictors,  weak invariance principles,  62G05,  62J05 
@article{1032298286,
     author = {Sen, Pranab Kumar},
     title = {Regression rank scores estimation in ANOCOVA},
     journal = {Ann. Statist.},
     volume = {24},
     number = {6},
     year = {1996},
     pages = { 1586-1601},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1032298286}
}

Sen, Pranab Kumar. Regression rank scores estimation in ANOCOVA. Ann. Statist., Tome 24 (1996) no. 6, pp.  1586-1601. http://gdmltest.u-ga.fr/item/1032298286/