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dc.contributorVirginia Tech
dc.contributor.authorSlocomb, J.
dc.contributor.authorStauffer, B.
dc.contributor.authorDickson, K. L.
dc.date.accessioned2014-03-27T13:06:03Z
dc.date.available2014-03-27T13:06:03Z
dc.date.issued1977
dc.identifier.citationJohn Slocomb, Barbara Stauffer, and Kenneth L. Dickson 1977. On Fitting the Truncated Lognormal Distribution to Species-Abundance Data Using Maximum Likelihood Estimation. Ecology 58:693-696. http://dx.doi.org/10.2307/1939021
dc.identifier.issn0012-9658
dc.identifier.urihttp://hdl.handle.net/10919/46833
dc.description.abstractThe truncated lognormal distribution can be used to graduate certain species-abundance data, provided that estimates of the location and scale parameters are obtained. A computer program has been written which groups the data on a log2 scale and numerically solves the maximum likelihood equations for this type of distribution. Results show that the estimates obtained by this method compared well with those of Hald and Cohen. Examples are presented using the diatom data of Hohn and Hellerman, and it is shown that a better fit is obtained by using the entire data set instead of selectively disregarding the most abundant tail intervals. Other published techniques for this type of analysis are also discussed.
dc.description.sponsorshipNSF/RANN/IT/GI-38357/PR/73/2
dc.language.isoen_US
dc.publisherEcological Society of America
dc.subjectComputer methods
dc.subjectlognormal distribution
dc.subjectmaximum likelihood estimation
dc.subjectnumerical analysis
dc.subjectspecies abundance
dc.titleOn fitting truncated lognormal distribution to species-abundance data using maximum likelihood estimation
dc.typeArticle - Refereed
dc.identifier.urlhttp://www.jstor.org/stable/1939021
dc.date.accessed2014-03-11
dc.title.serialEcology
dc.identifier.doihttps://doi.org/10.2307/1939021


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