Abstract
The quest for developing more efficient and flexible probability models remain strong in the field of probability theory and statistics.In this research, a continuous probability modelnamed the Truncated Exponential Marshall Olkin Gamma (TEMO-Ga) distribution was developed using the Truncated Exponential Marshall Olkin-G family of distributions. The TEMO-Ga distribution is bounded on [0,1] support and has three shape parameters; this allows for a greater flexibility. General statistical properties of the TEMO-Ga distribution including the shape of density and hazard function,moment generating function, quantile function,characteristics function,order statistics, and maximum likelihood estimation were studied.The flexibility of the model was investigated using a real life application. The model showed a great potential as it performed creditably well and better than models like the Beta Gamma, Kumaraswamy Gamma, Exponentiated Generalized Gamma, Log Gamma-Gamma, Gompertz Gamma, and Gamma distributions.
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