On fitting truncated lognormal distribution to species-abundance data using maximum likelihood estimation

dc.contributorVirginia Techen
dc.contributor.authorSlocomb, J.en
dc.contributor.authorStauffer, B.en
dc.contributor.authorDickson, K. L.en
dc.contributor.departmentBiological Sciencesen
dc.date.accessed2014-03-11en
dc.date.accessioned2014-03-27T13:06:03Zen
dc.date.available2014-03-27T13:06:03Zen
dc.date.issued1977en
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.en
dc.description.sponsorshipNSF/RANN/IT/GI-38357/PR/73/2en
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/10.2307/1939021en
dc.identifier.doihttps://doi.org/10.2307/1939021en
dc.identifier.issn0012-9658en
dc.identifier.urihttp://hdl.handle.net/10919/46833en
dc.identifier.urlhttp://www.jstor.org/stable/1939021en
dc.language.isoen_USen
dc.publisherEcological Society of Americaen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectComputer methodsen
dc.subjectlognormal distributionen
dc.subjectmaximum likelihood estimationen
dc.subjectnumerical analysisen
dc.subjectspecies abundanceen
dc.titleOn fitting truncated lognormal distribution to species-abundance data using maximum likelihood estimationen
dc.title.serialEcologyen
dc.typeArticle - Refereeden

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
1939021.pdf
Size:
195.25 KB
Format:
Adobe Portable Document Format
Description:
Main article