Iwueze’s Distribution and Its Application

Increased usage of single parameter life-time distributions for reference in development other and data modeling has attracted the interest researchers. Because performance ratings differ from one distribution to another there are increased need that delivers improved fits, new with a better rating capable providing fits have evolved Literature. One such is Iwueze’s distribution. proposed as Gamma Exponential baseline distributions. theoretical density, functions statistical features its moments, factors variation, skewness, kurtorsis, reliability functions, stochastic ordering, absolute deviations average, mid-point, Bonferroni Lorenz curves, Gini indexes, entropy stress strength been developed. curve not bell-shaped, but rather skewed positively leptokurtic. The risk measurement function monotone non-decreasing function, while average residual non-increasing function. was estimated using likelihood estimation approach. When used real-life modeling, superior than Akshya, Shambhu, Devya, Amarendra, Aradhana, Sujatha, Akash, Rama, Shanker, Suja, Lindley, Ishita, Prakaamy, Pranav, Exponential, Ram Awadh Odoma definitely tractable offers number well-known data, greater superiority fit ratings.