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政大機構典藏 > 商學院 > 統計學系 > 期刊論文 > Item 140.119/62695

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/62695

Title:	A Multiple-Community Overlap Measure based on a Probabilistic Approach
Authors:	余清祥 Yue1,Jack C.;Clayton, Murray K.
Contributors:	統計系
Keywords:	Similarity index;Species diversity;Jaccard Index;Simpson index;Shannon Index;Maximum likelihood estimator;Delta method
Date:	2013.07
Issue Date:	2013-12-19 11:11:29 (UTC+8)
Abstract:	Species diversity indices are designed to measure the species diversity of a community and compare the species distribution structure of two communities. The Shannon and Simpson indices are for describing one community, and the Jaccard and Morisita indices are for comparing two communities. Only a few indices allow the simultaneous comparison of three or more communities, such as Lande (1996) and Chao et al. (2008). In this study, we propose a multiple-community similarity index based on a probabilistic approach, and compare it with other multiple-community indices. Empirical examples are considered as a demonstration of the proposed similarity indices.
Relation:	Communications in Statistics: Simulation and Computation
Data Type:	article
DOI 連結:	http://dx.doi.org/10.1080/03610918.2013.827715
DOI:	10.1080/03610918.2013.827715
Appears in Collections:	[統計學系] 期刊論文

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