Robust tests for log-logistic models based on minimum density power divergence estimators
基于最小密度幂散度估计的对数逻辑斯蒂模型稳健检验
The log-logistic distribution is a versatile parametric family widely used across various applied fields, including survival analysis, reliability engineering, and econometrics. When estimating parameters of the log-logistic distribution, hypothesis testing is necessary to verify assumptions about these parameters. The Wald test and Rao test provide formal methods for testing hypotheses about these parameters. However, these test statistics are not robust, and their…