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Abstract
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We propose a new lifetime model called the transmuted geometric-Weibull distribution. Some of its
structural properties including ordinary and incomplete moments, quantile and generating functions,
probability weighted moments, Rényi and q-entropies and order statistics are derived. The maximum
likelihood method is discussed to estimate the model parameters by means of Monte Carlo simulation
study. A new location-scale regression model is introduced based on the proposed distribution. The new
distribution is applied to two real data sets to illustrate its flexibility. Empirical results indicate that
proposed distribution can be alternative model to other lifetime models available in the literature for
modeling real data in many areas.
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