Another odd log-logistic logarithmic class of continuous distributions

In this work, a new class of continuous distributions is presented and the mathematical properties of the new distribution class is studied. We estimate the model parameters by the maximum likelihood method and assess its performance based on biases and mean squared errors in a simulation study framework. For the real data set, the special member of the new class provides a better fit than other models generated by other well-known families