We investigate the parameter estimation of regression models with fixed group effects, when variable is missing while group-related variables are available. This problem involves clustering to infer based on variables, and build a model target given eventually some additional variables. Thus, this can be formulated as joint distribution modeling The usual strategy for two-step approach starting...

We propose a root n consistent estimator for β0 when the qth conditional quantile of Y given X=x and Z=z takes the semi linear form g(x)+z′β0 where g(.) is an unknown real valued function,β0 a finite dimensional parameter and (X,Z)a couple of explanatory variables.Importantly, our estimator attains,under homoscedasticity,the semi parametric efficiency bound.This estimation is conducted in two s...

By employing a novel semi-parametric extrapolation method, the life expectancies after the first hospitalization for schizophrenia and the associated lifetime healthcare expenditures were both estimated. Based on the linkage between the National Health Insurance Research Database and the National Mortality Registry of Taiwan, we have established a schizophrenic cohort for 2000-2010 and followed...

in this paper coupled nonlinear equations of motion of a suspended cable with time dependent tension and velocity are derived by using hamilton’s principal. a modal analysis for a stationary sagged cable is initially carried out in order to identify the dynamic system. the natural solution is directed to compute the natural frequencies and mode shapes of the free vibration of a suspended cable....

background : kernel smoothing method is a non-parametric or graphical method for statistical estimation. in the present study was used a kernel smoothing method for finding the death hazard rates of patients with acute myocardial infarction. methods : by employing non-parametric regression methods, the curve estimation, may have some complexity.  in this article, four indices of epanechnikov, b...