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A new class of models called the transmuted odd log-logistic-G family IS proposed and
studied. The method of maximum likelihood is used to estimate the unknown parameters.
The performance of the maximum likelihood estimators is assessed in terms of biases and
mean squared errors by means of three simulation studies. The usefulness of the proposed
family is illustrated by using three real data sets
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