Bayo H. Lawal

Employing the Double, Multiplicative and The Com-Poisson Binomial Distributions for modeling Over and Under-dispersed Binary Data

Bayo H. Lawal · Journal of Advances in Mathematics and Computer Science · 2017

In this paper, we compare the performances of several models for fitting over-dispersed binary data. The distribution models considered in this study include the binomial (BN), the beta- binomial (BB), the multiplicative binomial (MBM), the Com-Poisson binomial (CPB) and the doub...

Open access Research Article 10.9734/JAMCS/2017/33475

On the Hyper-Poisson Distribution and its Generalization with Applications

Bayo H. Lawal · Journal of Advances in Mathematics and Computer Science · 2017

In this paper, we t the hyper-Poisson, and the Mittag-Leer function (MLFD) distributions to data exhibiting over and under dispersion. Three frequency data sets were employed with one exhibiting under-dispersion. We also extend these distributions to GLM situations where we have...

Open access Research Article 10.9734/BJMCS/2017/32184