A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is
In this paper, semiparametric monotone mixed models are introduced, solving, in particular, the problems of estimating and bootstrapping. The models are defined in a small area setting, using the assumption that some of the auxiliary variables have a monotone relationship with the response and with the incorporation of linear terms to model other auxiliaries as the dummy variables. An estimator for the variance of the random effects is proposed and two bootstrap approaches, specially designeddoi:10.1177/1471082x12465796 fatcat:kfcnpfy2wrelpnwm22j7l6ifmi