We study the problem of estimating the parameters of a linear median regression without any assumption on the shape of …

We propose estimators for the parameters of a linear median regression without any assumption on the shape of the error …

Many estimation methods of truncated and censored regression models such as the maximum likelihood and symmetrically … semiparametric general trimmed estimator (GTE) of truncated and censored regression, which is highly robust and relatively imprecise …

-likelihood methods weighted by the inverse of the IV propensity score - so-called inverse probability weighted regression adjustment …

-likelihood methods weighted by the inverse of the IV propensity score - so-called inverse probability weighted regression adjustment …