2012
DOI: 10.1016/j.quageo.2012.04.020
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Statistical aspects of equivalent dose and error calculation and display in OSL dating: An overview and some recommendations

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Cited by 583 publications
(416 citation statements)
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“…The major methodological breakthroughs to date proglacial sediments were, therefore, the introduction of single aliquot and single grain methodologies. In these approaches, several equivalent dose (D e ) measurements from the same sample provide information about the level of bleaching, and different statistical approaches have been proposed to extract the well-bleached fraction from the distribution (Galbraith et al, 1999;Galbraith and Roberts, 2012).…”
Section: Luminescence Datingmentioning
confidence: 99%
“…The major methodological breakthroughs to date proglacial sediments were, therefore, the introduction of single aliquot and single grain methodologies. In these approaches, several equivalent dose (D e ) measurements from the same sample provide information about the level of bleaching, and different statistical approaches have been proposed to extract the well-bleached fraction from the distribution (Galbraith et al, 1999;Galbraith and Roberts, 2012).…”
Section: Luminescence Datingmentioning
confidence: 99%
“…4 and 5. In the literature, several types of figures have been used to represent such distributions, among which radial plots (e.g., Galbraith et al, 1999), T n vs De plots (e.g., Thomsen et al, 2005) or more simply histograms; a disadvantage of the latter being that the uncertainties on individual D e estimates are not displayed (see Galbraith and Roberts, 2012). In Fig.…”
Section: Natural D E Distributionsmentioning
confidence: 99%
“…However, a comprehensive view on both, standard error and data distribution characteristics requires further steps. Along with a list of the benefits of the radial plot, Galbraith and Roberts (2012) point at the necessity to look at more than one plot type in order to get a comprehensive view on the analysed data, i.e. to explore ages and associated standard errors in different ways.…”
Section: Philosophy and Constructionmentioning
confidence: 99%
“…A kernel density estimate (KDE) is a curve that depicts the empirical estimate of the density function of the distribution that the measured ages were drawn from (Galbraith and Roberts 2012). The size of the kernel (i.e.…”
Section: Philosophy and Constructionmentioning
confidence: 99%
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