Quantile Regression with a New Exponentiated Odd Log-Logistic Weibull Distribution

We define a new quantile regression model based on reparameterized exponentiated odd log-logistic Weibull distribution, and obtain some of its structural properties. It includes as sub-models known models that can be utilized in many areas. The maximum likelihood method is adopted to estimate the parameters, several simulations are performed study finite sample properties estimators. applicability proposed well justified by means gastric carcinoma dataset.