Using variance components to estimate power in a hierarchically nested sampling design
Using variance components to estimate power in a hierarchically nested sampling design
dc.contributor.author | Dinsmore, Stephen | |
dc.contributor.author | Dzul, Maria | |
dc.contributor.author | Dixon, Philip | |
dc.contributor.author | Quist, Michael | |
dc.contributor.author | Dixon, Philip | |
dc.contributor.author | Dinsmore, Stephen | |
dc.contributor.author | Bower, Michael | |
dc.contributor.author | Wilson, Kevin | |
dc.contributor.author | Gaines, D. Bailey | |
dc.contributor.department | Natural Resource Ecology and Management | |
dc.contributor.department | Statistics | |
dc.date | 2018-02-17T11:33:05.000 | |
dc.date.accessioned | 2020-07-02T06:57:54Z | |
dc.date.available | 2020-07-02T06:57:54Z | |
dc.date.issued | 2013-01-01 | |
dc.description.abstract | <p>We used variance components to assess allocation of sampling effort in a hierarchically nested sampling design for ongoing monitoring of early life history stages of the federally endangered Devils Hole pupfish (DHP) (<em>Cyprinodon diabolis</em>)<em>.</em> Sampling design for larval DHP included surveys (5 days each spring 2007–2009), events, and plots. Each survey was comprised of three counting events, where DHP larvae on nine plots were counted plot by plot. Statistical analysis of larval abundance included three components: (1) evaluation of power from various sample size combinations, (2) comparison of power in fixed and random plot designs, and (3) assessment of yearly differences in the power of the survey. Results indicated that increasing the sample size at the lowest level of sampling represented the most realistic option to increase the survey’s power, fixed plot designs had greater power than random plot designs, and the power of the larval survey varied by year. This study provides an example of how monitoring efforts may benefit from coupling variance components estimation with power analysis to assess sampling design.</p> | |
dc.description.comments | <p>This is an article from <em>Environmental Monitoring and Assessment</em> 185 (2013): 405, doi:<a href="http://dx.doi.org/10.1007/s10661-012-2562-8" target="_blank">10.1007/s10661-012-2562-8</a>. Posted with permission.</p> | |
dc.format.mimetype | application/pdf | |
dc.identifier | archive/lib.dr.iastate.edu/stat_las_pubs/51/ | |
dc.identifier.articleid | 1051 | |
dc.identifier.contextkey | 8056148 | |
dc.identifier.s3bucket | isulib-bepress-aws-west | |
dc.identifier.submissionpath | stat_las_pubs/51 | |
dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/90650 | |
dc.language.iso | en | |
dc.source.bitstream | archive/lib.dr.iastate.edu/stat_las_pubs/51/2013_Dixon_UsingVariance.pdf|||Sat Jan 15 00:43:22 UTC 2022 | |
dc.source.uri | 10.1007/s10661-012-2562-8 | |
dc.subject.disciplines | Natural Resources and Conservation | |
dc.subject.disciplines | Natural Resources Management and Policy | |
dc.subject.disciplines | Statistics and Probability | |
dc.subject.keywords | Devils hole | |
dc.subject.keywords | Power analysis | |
dc.subject.keywords | Nested sampling design | |
dc.subject.keywords | Variance components | |
dc.subject.keywords | Pupfish | |
dc.title | Using variance components to estimate power in a hierarchically nested sampling design | |
dc.type | article | |
dc.type.genre | article | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 93cc6656-8f88-4982-be9c-06bedefca35f | |
relation.isAuthorOfPublication | 7b3eb8d2-a569-4aba-87a1-5d9c2d99fade | |
relation.isOrgUnitOfPublication | e87b7b9d-30ea-4978-9fb9-def61b4010ae | |
relation.isOrgUnitOfPublication | 264904d9-9e66-4169-8e11-034e537ddbca |
File
Original bundle
1 - 1 of 1
- Name:
- 2013_Dixon_UsingVariance.pdf
- Size:
- 349.88 KB
- Format:
- Adobe Portable Document Format
- Description: