In this paper, a new generalization of Log Logistic Distribution using Alpha Power Transformation is proposed. The new distribution is named Alpha Power Log-Logistic Distribution. A comprehensive account of some of its statistical properties are derived. The maximum likelihood estimation procedure is used to estimate the parameters. The importance and utility of the proposed model are proved empirically using two real life data sets.

In this manuscript, a new three parameter Weibull distribution namely New Transmuted Weibull distribution is proposed through a transmutation technique. Some of the mathematical properties of new model have been derived. Entropy and parameter estimation is carried out using different methods. Finally, a real life data set is incorporated to illustrate the utility of the model from practical standpoint.

This paper proposes a new three parameter-distribution through the technique known as Transmutation. The proposed distribution is named Transmuted Alpha power inverse Rayleigh Distribution. Several important properties of the distribution are derived. The parameter estimation is also carried out. Two real life data set are used at the end to describe the potential application of proposed model.

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