This paper discusses the estimation of parameters in quantile regression model for dependent truncated data. To account dependence between survival time and time, Archimedean copula is used to construct association. The are estimated using certain existing approaches. An inference procedure based on a weighted approach proposed, where weights set according variables interest model. finite sampl...

Purpose The purpose of this paper is to propose a semiparametric estimator for the tail index Pareto-type random truncated data that improves existing ones in terms mean square error. Moreover, we establish its consistency and asymptotic normality. Design/methodology/approach To construct root squared error (RMSE)-reduced index, authors used underlying distribution function given by Wang (1989)...