Comparing Zero-inflated Poisson, Zero-inflated Negative Binomial and Zero-inflated Geometric in Count Data with Excess Zero
M. I. Adarabioyo & R. A. Ipinyomi · Asian Journal of Probability and Statistics · 2019
Count data often violate the assumptions of a normal distribution due to the fact that they are bounded by their lowest value which is zero. The Poison distribution is sometimes suggested but when the assumption of equal mean and variance is violated due to over-dispersion and pr...
Open access
Research Article
10.9734/ajpas/2019/v4i230113