Selecting the best model to fit the rainfall count data using some zero type models with application
Other Title(s)
اختيار أفضل نموذج لملائمة بيانات العد لهطول الأمطار باستخدام بعض النماذج الصفرية مع تطبيق عملي
Joint Authors
Hashim, Luayy Habib
Fulayyih, Ahmad Naim
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 11, Issue 2 (30 Jun. 2019), pp.28-41, 14 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2019-06-30
Country of Publication
Iraq
No. of Pages
14
Main Subjects
Topics
Abstract EN
Counts data models cope with the response variable counts, where the number of times that a certain event occurs in a fixed point is called count data, its observations consists of non-negative integers values {0,1,2,…}.
Because of the nature of count data, the response variables are usually considered doing not follow normal distribution.
Therefore, linear regression is not an appropriate method to analysis count data due to the skewed distribution.
Hence, using linear regression model to analysis count data is likely to bias the results, under these limitations, Poisson regression model and “Negative binomial regression” are likely the appropriate models to analysis count data.
Sometimes researchers may Counts more zeros than the expected.
Count data with many Zeros leads to a concept called “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- altered Poisson” (ZAP) model and the “negative binomial” model.
In this paper, the models, Poisson, Negative Binomial, ZAP, and ZANB were been used to analyze rainfall data.
American Psychological Association (APA)
Hashim, Luayy Habib& Fulayyih, Ahmad Naim. 2019. Selecting the best model to fit the rainfall count data using some zero type models with application. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 11, no. 2, pp.28-41.
https://search.emarefa.net/detail/BIM-883434
Modern Language Association (MLA)
Hashim, Luayy Habib& Fulayyih, Ahmad Naim. Selecting the best model to fit the rainfall count data using some zero type models with application. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 11, no. 2 (2019), pp.28-41.
https://search.emarefa.net/detail/BIM-883434
American Medical Association (AMA)
Hashim, Luayy Habib& Fulayyih, Ahmad Naim. Selecting the best model to fit the rainfall count data using some zero type models with application. al-Qadisiyah Journal for Computer Science and Mathematics. 2019. Vol. 11, no. 2, pp.28-41.
https://search.emarefa.net/detail/BIM-883434
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 39-40
Record ID
BIM-883434