1954
DOI: 10.21236/ad0034747
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Bounds on Errors in Kd Caused by Random Errors of Measurement in a Five Station Range

Abstract: The maximum effect of random errors in a five station firing range is investigated. Because the data reduction method for drag coefficient, K«. requires fitting the tijre-distance data with a cubic polynomial by iilie method of least squares, the problem becomes that of investigating the maximum effect of random errors in the data on the coefficients of the cubiu. This is done in a general way that will apply to a polynomial of any degree and a range of any odd number of stations.

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“…De Boer et al, 2013; Gil-Romera et al, 2014; Gillson and Ekblom, 2009). Using the software Psimpoll, optimal splitting by least-squares was used to determine the maximum statistically significant number of zones (Bennett, 1996, 2007; Grimm, 1987). An additional sub-zone was identified qualitatively based on the abundance of the coprophilous fungal spores of Sordariaceae and corresponding subtle changes in the pollen spectra.…”
Section: Study Site and Methodsmentioning
confidence: 99%
“…De Boer et al, 2013; Gil-Romera et al, 2014; Gillson and Ekblom, 2009). Using the software Psimpoll, optimal splitting by least-squares was used to determine the maximum statistically significant number of zones (Bennett, 1996, 2007; Grimm, 1987). An additional sub-zone was identified qualitatively based on the abundance of the coprophilous fungal spores of Sordariaceae and corresponding subtle changes in the pollen spectra.…”
Section: Study Site and Methodsmentioning
confidence: 99%