INVESTIGATION OF E-MAIL TRAFFIC BY USING ZERO-INFLATED REGRESSION MODELS

Volume: 13 Number: 1 August 24, 2012
Yilmaz Kaya , Abdullah Yeşilova
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INVESTIGATION OF E-MAIL TRAFFIC BY USING ZERO-INFLATED REGRESSION MODELS

Abstract

Based on count data obtained with a value of zero may be greater than anticipated. These types of data sets should be used to analyze by regression methods taking into account zero values. Zero-Inflated Poisson (ZIP), Zero-Inflated negative binomial (ZINB), Poisson Hurdle (PH), negative binomial Hurdle (NBH) are more common approaches in modeling more zero value possessing dependent variables than expected. In the present study, the e-mail traffic of Yüzüncü Yıl University in 2009 spring semester was investigated. ZIP and ZINB, PH and NBH regression methods were applied on the data set because more zeros counting (78.9%) were found in data set than expected. ZINB and NBH regression considered zero dispersion and overdispersion were found to be more accurate results due to overdispersion and zero dispersion in sending e-mail. ZINB is determined to be best model according to Vuong statistics and information criteria.

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Primary Language

English

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Publication Date

August 24, 2012

Submission Date

December 4, 2011

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Published in Issue

Year 2012 Volume: 13 Number: 1

IZ

https://izlik.org/JA97ML85UU

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RIS / Bibtex
APA
Kaya, Y., & Yeşilova, A. (2012). INVESTIGATION OF E-MAIL TRAFFIC BY USING ZERO-INFLATED REGRESSION MODELS. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, 13(1), 51-63. https://izlik.org/JA97ML85UU
AMA
1.Kaya Y, Yeşilova A. INVESTIGATION OF E-MAIL TRAFFIC BY USING ZERO-INFLATED REGRESSION MODELS. AUJST-A. 2012;13(1):51-63. https://izlik.org/JA97ML85UU
Chicago
Kaya, Yilmaz, and Abdullah Yeşilova. 2012. “INVESTIGATION OF E-MAIL TRAFFIC BY USING ZERO-INFLATED REGRESSION MODELS”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 13 (1): 51-63. https://izlik.org/JA97ML85UU.
EndNote
Kaya Y, Yeşilova A (August 1, 2012) INVESTIGATION OF E-MAIL TRAFFIC BY USING ZERO-INFLATED REGRESSION MODELS. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 13 1 51–63.
IEEE
[1]Y. Kaya and A. Yeşilova, “INVESTIGATION OF E-MAIL TRAFFIC BY USING ZERO-INFLATED REGRESSION MODELS”, AUJST-A, vol. 13, no. 1, pp. 51–63, Aug. 2012, [Online]. Available: https://izlik.org/JA97ML85UU
ISNAD
Kaya, Yilmaz - Yeşilova, Abdullah. “INVESTIGATION OF E-MAIL TRAFFIC BY USING ZERO-INFLATED REGRESSION MODELS”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 13/1 (August 1, 2012): 51-63. https://izlik.org/JA97ML85UU.
JAMA
1.Kaya Y, Yeşilova A. INVESTIGATION OF E-MAIL TRAFFIC BY USING ZERO-INFLATED REGRESSION MODELS. AUJST-A. 2012;13:51–63.
MLA
Kaya, Yilmaz, and Abdullah Yeşilova. “INVESTIGATION OF E-MAIL TRAFFIC BY USING ZERO-INFLATED REGRESSION MODELS”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, vol. 13, no. 1, Aug. 2012, pp. 51-63, https://izlik.org/JA97ML85UU.
Vancouver
1.Yilmaz Kaya, Abdullah Yeşilova. INVESTIGATION OF E-MAIL TRAFFIC BY USING ZERO-INFLATED REGRESSION MODELS. AUJST-A [Internet]. 2012 Aug. 1;13(1):51-63. Available from: https://izlik.org/JA97ML85UU