Highlights
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A new two-parameter general inflated Poisson distribution is proposed and studied.
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The proposed model can be effectively used for fitting underdispersed and overdispersed count data.
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A general mechanism for inflating the zero and non-zero values of any discrete distribution is offered.
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Real-data examples illustrate the practical usefulness of the proposed model.