[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Contact us::
Site Facilities::
Search in website

Advanced Search
Receive site information
Enter your Email in the following box to receive the site news and information.

Citation Indices from GS

AllSince 2019
:: Volume 22, Issue 1 (9-2011) ::
مجله‌ی بررسی‌ها 2011, 22(1): 17-32 Back to browse issues page
Comparison of Various Regression Models in the Analysis of Count Data
F. Hassanzadeh * , I. Kazemi
Abstract:   (5811 Views)

Familiar model in the analysis of count data is Poisson which imposes the restrictive assumption that the variance equals the mean. This restriction is not usually satisfied in practice and thus model fitting process leads to invalid estimation results of parameters. This paper introduces the concept of over-distribution and its related tests, and presents several count data regression models, such as the negative binomial and the generalized Poisson, as alternatives to the Poisson model. Furthermore, some models for count data are compared under the assumption of having the same two first order moments. Also, we use the maximum likelihood approach to estimate the model parameters. Finally, we consider a real data set taken from the study of the impact of the metabolic syndrome among obese children in Isfahan. We analyze the number of white globules as responses and then select the best fitted model by using of some standard model choice criteria.

Keywords: Generalized Poisson model, maximum likelihood approach, model selection criteria, negative binomial, over-dispersion, Poisson model
Full-Text [PDF 538 kb]   (1397 Downloads)    
Type of Study: Research | Subject: General
Received: 2011/02/6 | Accepted: 2011/08/23 | Published: 2015/12/30
Send email to the article author

XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Hassanzadeh F, Kazemi I. Comparison of Various Regression Models in the Analysis of Count Data . مجله‌ی بررسی‌ها 2011; 22 (1) :17-32
URL: http://ijoss.srtc.ac.ir/article-1-63-en.html

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 22, Issue 1 (9-2011) Back to browse issues page
مجله‌ی بررسی‌های آمار رسمی ایران Ijoss Iranian Journal of Official Statistics Studies
Persian site map - English site map - Created in 0.05 seconds with 38 queries by YEKTAWEB 4645