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首页> 外文期刊>Journal of Parasitology >PROPERTIES OF CROWDING INDICES AND STATISTICAL TOOLS TO ANALYZE PARASITE CROWDING DATA
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PROPERTIES OF CROWDING INDICES AND STATISTICAL TOOLS TO ANALYZE PARASITE CROWDING DATA

机译：分析寄生虫拥挤数据的拥挤指数和统计工具的性质

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摘要

Crowding, i.e., the size of the infrapopulation inhabiting an individual host, is a major component of parasites' environment, which often influences both morphological and life-history characters (the so-called density-dependent characters) in different parasite taxa. Although crowding equals intensity in case of a single parasite individual, mean intensity of the host population does not define mean crowding of the parasite population. Crowding indices are notoriously hard to handle statistically because of the inherently large number of nonindependent values in data. In this study, we aim to investigate the apparently paradox features of crowding indices and to make some proposals and also to introduce statistical methods to calculate confidence intervals and 1-sample and 2-sample tests for mean crowding. All methods described in this study are supported by the freely distributed statistical software Quantitative Parasitology.
机译：拥挤，即居住在单个宿主中的种群数量，是寄生虫环境的主要组成部分，通常会影响不同寄生虫类群的形态特征和生活史特征（所谓的密度依赖性特征）。尽管在单个寄生虫个体的情况下拥挤等于强度，但宿主种群的平均强度并未定义寄生虫种群的平均拥挤。众所周知，拥挤索引难以统计，因为数据中固有大量非独立值。在这项研究中，我们旨在调查拥挤指数的明显悖论特征，并提出一些建议，并介绍统计方法来计算置信区间以及平均拥挤的1样本和2样本检验。自由分发的统计软件Quantitative Parasitology支持本研究中描述的所有方法。

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    《Journal of Parasitology》 |2005年第2期|p.00000245-00000252|共8页
  • 作者

    Jenö Reiczigel Zsolt Lang* Lajos Rózsa† and Béla Tóthmérész‡;

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    Department of Biomathematics and Informatics, Faculty of Veterinary Science, Szent István University, P.O. Box 2, Budapest H-1400, Hungary. Reiczigel.Jeno@aotk.szie.hu*Nomogram Ltd., Arany János utca 70, Budapest H-1165, Hungary†Animal Ecology Research Group of the Hungarian Academy of Sciences, Hungarian Natural History Museum, Ludovika tér 2, Budapest H-1083, Hungary‡Department of Ecology, Faculty of Sciences, University of Debrecen, Debrecen H-4010, Hungary;

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