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dc.contributor.authorSalonen, Kalevi
dc.contributor.authorSalmi, Pauliina
dc.contributor.authorKeskitalo, Jorma
dc.date.accessioned2022-01-05T09:22:51Z
dc.date.available2022-01-05T09:22:51Z
dc.date.issued2021
dc.identifier.citationSalonen, K., Salmi, P., & Keskitalo, J. (2021). How to reach optimal estimates of confidence intervals in microscopic counting of phytoplankton?. <i>Journal of Plankton Research</i>, <i>43</i>(6), 846-852. <a href="https://doi.org/10.1093/plankt/fbab062" target="_blank">https://doi.org/10.1093/plankt/fbab062</a>
dc.identifier.otherCONVID_103601502
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/79233
dc.description.abstractPresent practices in the microscopic counting of phytoplankton to estimate the reliability of results rely on the assumption of a random distribution of taxa in sample preparations. In contrast to that and in agreement with the literature, we show that aggregated distribution is common and can lead to over-optimistic confidence intervals, if estimated according to the shortcut procedure of Lund et al. based on the number of counted cells. We found a good linear correlation between the distribution independent confidence intervals for medians and those for parametric statistics so that 95% confidence intervals can be approximated by using a correction factor of 1.4. Instead, the recommendation to estimate confidence intervals from the total number of counted cells according to Lund et al. should be categorically rejected. We further propose the adoption of real-time confidence intervals during microscopic counting as the criterion to define how long counting should be continued. Then each sample can be counted in its individual way to reach the necessary reliability independent of highly different samples. Such a dynamic counting strategy would be the most significant development in the quality control of phytoplankton counting since the early pioneers established the present counting practices in the late 1950s.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherOxford University Press (OUP)
dc.relation.ispartofseriesJournal of Plankton Research
dc.rightsCC BY 4.0
dc.titleHow to reach optimal estimates of confidence intervals in microscopic counting of phytoplankton?
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202201051012
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineComputing, Information Technology and Mathematicsfi
dc.contributor.oppiaineResurssiviisausyhteisöfi
dc.contributor.oppiaineLaskennallinen tiedefi
dc.contributor.oppiaineComputing, Information Technology and Mathematicsen
dc.contributor.oppiaineSchool of Resource Wisdomen
dc.contributor.oppiaineComputational Scienceen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.description.reviewstatuspeerReviewed
dc.format.pagerange846-852
dc.relation.issn0142-7873
dc.relation.numberinseries6
dc.relation.volume43
dc.type.versionpublishedVersion
dc.rights.copyright© The Author(s) 2021. Published by Oxford University Press
dc.rights.accesslevelopenAccessfi
dc.subject.ysoplankton
dc.subject.ysolaskeminen
dc.subject.ysomikroskopia
dc.subject.ysotilastomenetelmät
dc.subject.ysomikrolevät
dc.subject.ysoestimointi
dc.subject.ysoluottamustasot
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p3053
jyx.subject.urihttp://www.yso.fi/onto/yso/p1382
jyx.subject.urihttp://www.yso.fi/onto/yso/p16290
jyx.subject.urihttp://www.yso.fi/onto/yso/p3127
jyx.subject.urihttp://www.yso.fi/onto/yso/p26977
jyx.subject.urihttp://www.yso.fi/onto/yso/p11349
jyx.subject.urihttp://www.yso.fi/onto/yso/p34045
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1093/plankt/fbab062
jyx.fundinginformationLake Vesijärvi Foundation.


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