A new
distribution with increasing, decreasing, bathtub-shaped and unimodal failure rate forms called as the generalized
modified Weibull power series (GMWPS)
distribution is proposed. The new
distribution is constructed based on a latent complementary risk problem and is obtained by compounding generalized
modified Weibull (GMW) and power series
distributions. The new
distribution contains, as special submodels, several important
distributions which are discussed in the literature, such as generalized
modified Weibull Poisson (GMWP)
distribution, generalized
modified Weibull Geometric (GMWG)
distribution, generalized
modified Weibull Logarithmic (GMWL)
distribution, generalized
modified Weibull Binomial (GMWB)
distribution, among others.
A comprehensive mathematical treatment of the new distribution is provided. We provide closed-form expressions for the density, cumulative distribution, survival function, failure rate function, the rth raw moment, and also the moments of order statistics. Expressions for the Rényi and Shannon entropies are also given. Moreover, we discuss maximum likelihood estimation and provide formula for the elements of the Fisher information matrix. We consider the EM-algorithm for computing the estimates. Simulation studies and two real data set applications are also given for illustration of the flexibility and potentiality of the new distribution.