Show simple item record

Bias, Precision, And Accuracy Of Four Measures Of Species Richness

dc.contributor.authorHellmann, Jessica J.en_US
dc.contributor.authorFowler, Gary W.en_US
dc.date.accessioned2016-02-01T18:48:57Z
dc.date.available2016-02-01T18:48:57Z
dc.date.issued1999-08en_US
dc.identifier.citationHellmann, Jessica J.; Fowler, Gary W. (1999). "Bias, Precision, And Accuracy Of Four Measures Of Species Richness." Ecological Applications 9(3): 824-834.en_US
dc.identifier.issn1051-0761en_US
dc.identifier.issn1939-5582en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/117061
dc.publisherWiley Periodicals, Inc.en_US
dc.publisherEcological Society of Americaen_US
dc.subject.otherbiological diversityen_US
dc.subject.otherbootstrap estimatoren_US
dc.subject.otherjackknife estimator, first- and second-orderen_US
dc.subject.otherMonte Carlo simulationen_US
dc.subject.otherquadrat samplingen_US
dc.subject.otherresampling proceduresen_US
dc.subject.othersample size determinationen_US
dc.subject.othersimple richness estimatoren_US
dc.subject.otherspecies diversityen_US
dc.subject.otherspecies richnessen_US
dc.titleBias, Precision, And Accuracy Of Four Measures Of Species Richnessen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biologyen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumSchool of Natural Resources and Environment, University of Michigan, Ann Arbor, Michigan 48109 USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/117061/1/eap199993824.pdf
dc.identifier.doi10.1890/1051-0761(1999)009[0824:BPAAOF]2.0.CO;2en_US
dc.identifier.sourceEcological Applicationsen_US
dc.identifier.citedreferencePalmer, M. W. 1991. Estimating species richness: the second-order jackknife reconsidered. Ecology 72: 1512 – 1513.en_US
dc.identifier.citedreferenceChao, A. 1984. Non-parametric estimation of the number of classes in a population. Scandinavian Journal of Statistics 11: 265 – 270.en_US
dc.identifier.citedreferenceChao, A. 1987. Estimating the population size for capture-recapture data with unequal catchability. Biometrics 43: 783 – 791.en_US
dc.identifier.citedreferenceChao, A., and S.-M. Lee. 1992. Estimating the number of classes via sample coverage. Journal of the American Statistical Association 87: 210 – 217.en_US
dc.identifier.citedreferenceColwell, R. K., and J. A. Coddington. 1994. Estimating terrestrial biodiversity through extrapolation. Philosophical Transactions of the Royal Society of London B 345: 101 – 118.en_US
dc.identifier.citedreferenceEfron, B. 1979. Bootstrap methods: another look at the jackknife. Annals of Statistics 7: 1 – 26.en_US
dc.identifier.citedreferenceEfron, B. 1981. Nonparametric estimates of standard error: the jackknife, the bootstrap and other methods. Biometrika 68: 589 – 599.en_US
dc.identifier.citedreferenceEfron, B., and G. Gong. 1983. A leisurely look at the bootstrap, the jackknife, and cross-validation. The American Statistician 37: 36 – 48.en_US
dc.identifier.citedreferenceGray, H. L., and W. R. Schucany. 1972. The generalized jackknife statistics. Marcel Dekker, New York, New York, USA.en_US
dc.identifier.citedreferenceHeltshe, J. F., and N. E. Forester. 1983. Estimating species richness using the jackknife procedure. Biometrics 39: 1 – 11.en_US
dc.identifier.citedreferenceHobbs, R., and E. Lleras. 1995. Protecting and restoring ecosystems, species, populations and genetic diversity. Pages 981–1016 in Miller, K., M. H. Allegretti, N. Johnson, and B. Jonsson, editors. Global biodiversity asessment. United Nations Environmental Programme. Cambridge University Press. Cambridge, UK.en_US
dc.identifier.citedreferenceLee, S.-M., and A. Chao. 1994. Estimating population size via sample coverage for closed capture–recapture models. Biometrics 50: 88 – 97.en_US
dc.identifier.citedreferenceMagurran, A. E. 1988. Ecological diversity and its measurement. Princeton University Press, Princeton, New Jersey, USA.en_US
dc.identifier.citedreferenceMiller, R. G. 1974. The jackknife: a review. Biometrika 61: 1 – 15.en_US
dc.identifier.citedreferencePalmer, M. W. 1990. The estimation of species richness by extrapolation. Ecology 71: 1195 – 1198.en_US
dc.identifier.citedreferencePeet, R. K. 1974. The measurement of species diversity. Annual Review of Ecology and Systematics 5: 285 – 307.en_US
dc.identifier.citedreferenceQuenoille, M. H. 1949. Approximate testes of correlation in time series. Journal of the Royal Statistical Society, Series B 11: 68 – 84.en_US
dc.identifier.citedreferenceShannon, C. E., and W. Weaver. 1963. The mathematical theory of communication. University of Illinois Press, Urbana, Illinois, USA.en_US
dc.identifier.citedreferenceSimpson, E. H. 1949. Measurement of diversity. Nature 163: 688.en_US
dc.identifier.citedreferenceSmith, E. P., and G. van Belle. 1984. Nonparametric estimation of species richness. Biometrics 40: 119 – 129.en_US
dc.identifier.citedreferenceTukey, J. 1958. Bias and confidence in not quite so large samples. Annals of Mathematical Statistics 29: 614.en_US
dc.identifier.citedreferenceWalther, B. A., and S. Morand. 1998. Comparative performance of species richness estimation methods. Parasitology 116: 395 – 405.en_US
dc.identifier.citedreferenceZahl, S. 1977. Jackknifing an index of diversity. Ecology 58: 907 – 913.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.