Littérature Et Interdits 1998
DOI: 10.4000/books.pur.48227
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“…The next step was to disperse the points from the lines upon which they were projected in such a way as to simulate the dispersion of the adopted 6 cm data. This was achieved by applying the kernel density smoothing in 1D from Bozzetto et al (2017). From the adopted 6 cm data we reconstructed the smooth probability density distribution of the orthogonal distances (offsets) from the Lo line (Fig.…”
Section: σ-D Sensitivity Selection Effectsmentioning
confidence: 99%
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“…The next step was to disperse the points from the lines upon which they were projected in such a way as to simulate the dispersion of the adopted 6 cm data. This was achieved by applying the kernel density smoothing in 1D from Bozzetto et al (2017). From the adopted 6 cm data we reconstructed the smooth probability density distribution of the orthogonal distances (offsets) from the Lo line (Fig.…”
Section: σ-D Sensitivity Selection Effectsmentioning
confidence: 99%
“…For each Σ-D data sample we applied both Σ offset and orthogonal offset analysis. In addition, we reconstructed the Σ-D probability density function (PDF) using bootstrap based kernel density smoothing (for details see Bozzetto et al 2017, and references therein). The reconstruction of the Σ-D PDF provides a better insight into observational biases and evolutionary features of each sample (see also Vukotić et al 2014, and references therein).…”
Section: σ − D Relation For Pnementioning
confidence: 99%
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