Al-Qadisiyah University
Journal of Al-Qadisiyah for Computer Science and Mathematics
2074-0204
11
2
2019
08
28
Modeling the Rainfall Count data Using Some Zero Type models with application
14
27
162571
EN
Luay Habeeb Hashim
Ahmad Naeem Flaih
Journal Article
2019
08
01
Count data, including zero counts arise in a wide variety of application, hence models for counts have become widely popular in many fields. In the statistics field, one may define the count data as that type of observation which takes only the non-negative integers value. Sometimes researchers may Counts more zeros than the expected. Excess zero can be defined as Zero-Inflation. Data with abundant zeros are especially popular in health, marketing, finance, econometric, ecology, statistics quality control, geographical, and environmental fields when counting the occurrence of certain behavioral and natural events, such as frequency of alcohol use, take drugs, number of cigarettes smoked, the occurrence of earthquakes, rainfall, and etc. Some models have been used to analyzing count data such as the zero-inflated Poisson (ZIP) model and the negative binomial model. In this paper, the models, Poisson, Negative Binomial, ZIP, and ZINB were been used to analyze rainfall data.
<p>
https://csm.iraqjournals.com/article_162571_23e7cf47f1ecb067badb09a1c1d75cf6.pdf