Estimation of the size of a closed population when capture probabilities vary among animals

Burnham, Kenneth P.; Overton, W. Scott

doi:10.1093/biomet/65.3.625

Cited by 624 publications

(104 citation statements)

References 17 publications

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“…Jacknife "Jacknife 1" is the first-order jacknife estimator of species richness (incidencebased) (Burnham andOverton 1978,1979;Heltshe and Forrester 1983) . "Jacknife 2" is the second-order jacknife estimator of species richness (incidence-based) (Smith and van Belle 1984) .…”

Section: Chaomentioning

confidence: 99%

Past climate changes explain the phylogeography of Vitellaria paradoxa over Africa

et al. 2011

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Section: Chaomentioning

confidence: 99%

Past climate changes explain the phylogeography of Vitellaria paradoxa over Africa

et al. 2011

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“…We used two measures of SSR product richness to assess founder effects. For each accession, richness estimates were calculated using non-parametric estimates of incidence-based amplified fragment accumulation curves (Colwell and Coddington 1994) using the following metrics implemented in the software EstimateS (Version 8.2, R. K. Colwell, http://purl.oclc.org/estimates): the Chao 2 richness estimator (Chao 1987), the incidence-based coverage estimator of richness (Chao et al 2000), and the second-order jackknife richness estimator (Burnham and Overton 1978;Palmer 1991). Means and standard deviations of richness estimates were calculated from 10,000 bootstrap replicates of the dataset.…”

Section: Estimates Of Genetic Parametersmentioning

confidence: 99%

Post-glacial evolution of Panicum virgatum: centers of diversity and gene pools revealed by SSR markers and cpDNA sequences

et al. 2011

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Switchgrass (Panicum virgatum), a central and Eastern USA native, is highly valued as a component in tallgrass prairie and savanna restoration and conservation projects and a potential bioenergy feedstock. The purpose of this study was to identify regional diversity, gene pools, and centers-of-diversity of switchgrass to gain an understanding of its post-glacial evolution and to identify both the geographic range and potential overlap between functional gene pools. We sampled a total of 384 genotypes from 49 accessions that included the three main taxonomic groups of switchgrass (lowland 4x, upland 4x, and upland 8x) along with one accession possessing an intermediate phenotype. We identified primary centers of diversity for switchgrass in the eastern and western Gulf Coast regions. Migration, drift, and selection have led to adaptive radiation in switchgrass, creating regional gene pools within each of the main taxa. We estimate that both upland-lowland divergence and 4x-to-8x polyploidization within switchgrass began approximately 1.5-1 M ybp and that subsequent ice age cycles have resulted in gene flow between ecotype lineages and between ploidy levels. Gene flow has resulted in ''hot spots'' of genetic diversity in the southeastern USA and along the Atlantic Seaboard.

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“…However, Burnham and Overton show in [17] that the aggregated "frequency of frequencies"-statistic (hereon f -statistic) is sufficient for estimating the number of unobserved species for non-parametric algorithms. The f -statistic captures the relative frequency of observed classes in the sample.…”

Section: A Basic Estimator Model and F-statisticmentioning

confidence: 99%

Crowdsourced enumeration queries

Trushkowsky

Kraska

Franklin

et al. 2013

2013 IEEE 29th International Conference on Data Engineering (ICDE)

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Abstract-Hybrid human/computer database systems promise to greatly expand the usefulness of query processing by incorporating the crowd for data gathering and other tasks. Such systems raise many implementation questions. Perhaps the most fundamental question is that the closed world assumption underlying relational query semantics does not hold in such systems. As a consequence the meaning of even simple queries can be called into question. Furthermore, query progress monitoring becomes difficult due to non-uniformities in the arrival of crowdsourced data and peculiarities of how people work in crowdsourcing systems. To address these issues, we develop statistical tools that enable users and systems developers to reason about query completeness. These tools can also help drive query execution and crowdsourcing strategies. We evaluate our techniques using experiments on a popular crowdsourcing platform.

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Estimation of the size of a closed population when capture probabilities vary among animals

Cited by 624 publications

References 17 publications

Past climate changes explain the phylogeography of Vitellaria paradoxa over Africa

Past climate changes explain the phylogeography of Vitellaria paradoxa over Africa

Post-glacial evolution of Panicum virgatum: centers of diversity and gene pools revealed by SSR markers and cpDNA sequences

Crowdsourced enumeration queries

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