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A Discrete Exponential Generalized-G Family of Distributions: Properties with Bayesian and Non-Bayesian Estimators to Model Medical, Engineering and Agriculture Data
This paper introduces a new flexible probability tool for modeling extreme and zero-inflated count data under different shapes of hazard rates. Many relevant mathematical and statistical properties are derived and analyzed. The new tool can be used to discuss several kinds of data, such as "asymmetric and left skewed", "asymmetric and right skewed", "symmetric", "symmetric and bimodal", "uniformed", and "right skewed with a heavy tail", among other useful shapes. The failure rate of the newdoi:10.3390/math10183348 fatcat:6buk4t6u7je6pc4rxnfhictgxm