The Transmuted Odd Log-Logistic-G Family of Distributions
Taylor & Francis
Journal of Statistics and Management Systems
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.
Alizadeh, Morad; Yousof, Haitham M.; Jahanshahi, S.M.A.; Najibi, Seyed Morteza; and Hamedani, Gholamhossein G., "The Transmuted Odd Log-Logistic-G Family of Distributions" (2020). Mathematical and Statistical Science Faculty Research and Publications. 101.