Influence Diagnostic in Log-Exponential-Inverse- Exponential {Weibull} Regression Failure Model

An exponential-inverse-exponential {Weibull} regression failure model is introduced. Some of its properties like density function, survival and hazard function are derived. Maximum likelihood estimates the parameters new from censored data obtained. To assess local influence diagnostic(s) on parameter estimates, appropriate matrices Also, global used to detect influential observations. Martingale Deviance residuals obtained outliers evaluate assumptions. A real analyzed under Log-Exponential-Inverse-Exponential show usefulness model. simulation study performed investigate behavior for different sample sizes censoring percentages.