covariates. Analytic expressions for the first-order bias and second-order mean squared error for this estimator are derived, and … bias-adjusted maximum likelihood estimator, constructed by subtracting the estimated first-order bias from the original … estimator, are investigated in a Monte Carlo experiment. Correcting the estimator for its first-order bias is found to be …

coefficients of the covariates, and in terms of the bias of the estimated survival function. It turns out that RMPLS outperforms … all other methods in terms of the mean squared error and the bias of the survival function in the presence of outliers in … outperform all other methods considered in this study in terms of mean squared error and bias of the estimated survival function. …

covariates. Analytic expressions for the first-order bias and second-order mean squared error function for the maximum likelihood … results for the single covariate case. For various data distributions, the bias of the estimator is signed the same as the … covariate’s coefficient, and both the absolute bias and the mean squared errors increase symmetrically with the absolute value …