This paper considers quantile regression analysis based on semi-competing risks data in which a non-terminal event may be dependently censored by a terminal eve
We consider a time series following a simple linear regression with first-order autoregressive errors belonging to the class of heavy-tailed distributions. The
In linear regression analysis, detecting anomalous observations is an important step for model building process. Various influential measures based on different