Analysing count data of Butterflies communities in Jasin, Melaka: a poisson regression analysis

Muhamad Jamil, Siti Afiqah and Abdullah, M. Asrul Affendi and Kek, Sie Long and Nor, Maria Elena and Mohamed, Maryati and Ismail, Norradihah (2017) Analysing count data of Butterflies communities in Jasin, Melaka: a poisson regression analysis. Journal of Physics: Conference Series, 890 (012171). pp. 1-7. ISSN 1742-6588

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Official URL: http://dx.doi.org/10.1088/1742-6596/890/1/012171

Abstract

Counting outcomes normally have remaining values highly skewed toward the right as they are often characterized by large values of zeros. The data of butterfly communities, had been taken from Jasin, Melaka and consists of 131 number of subject visits in Jasin, Melaka. In this paper, considering the count data of butterfly communities, an analysis is considered Poisson regression analysis as it is assumed to be an alternative way on better suited to the counting process. This research paper is about analysing count data from zero observation ecological inference of butterfly communities in Jasin, Melaka by using Poisson regression analysis. The software for Poisson regression is readily available and it is becoming more widely used in many field of research and the data was analysed by using SAS software. The purpose of analysis comprised the framework of identifying the concerns. Besides, by using Poisson regression analysis, the study determines the fitness of data for accessing the reliability on using the count data. The finding indicates that the highest and lowest number of subject comes from the third family (Nymphalidae) family and fifth (Hesperidae) family and the Poisson distribution seems to fit the zero values.

Item Type:	Article
Uncontrolled Keywords:	nil
Subjects:	H Social Sciences > HA Statistics
Divisions:	Faculty of Applied Science and Technology > Department of Mathematics and Statistics
Depositing User:	Mrs. Siti Noraida Miskan
Date Deposited:	06 Jan 2022 03:40
Last Modified:	06 Jan 2022 03:40
URI:	http://eprints.uthm.edu.my/id/eprint/5165

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