Your English writing platform
Discover LudwigExact(13)
Chris Giles's original blogpost contains a detailed plot of each data series.
In addition, the standard deviation for each data series was also determined to conclude how well each method describes the fatigue strength of each welded detail.
H-P Filter Trends are the filtered series from a county-specific application of a Hodrick-Prescott filter (smoothing parameter = 1600) applied individually to each data series.
Least-squares fitting to the form of "y = a + bx" for each data series in the plots from panel (d) in Figures 8, 9, 10, 11, and 12 is summarized in Table 2.
The algorithm is based on the assumption that each data series is primarily composed of a finite set of simple oscillations which are AM/FM components called intrinsic mode functions (IMF) by sifting process [79, 80].
In order to develop an equation for kdiv,s with respect to Re and Q s,i /Q c,i, a procedure is adopted, where in the first step, each data series of kdiv,s corresponding to Q s,i /Q c,i is fitted in a logarithmic expression in the following form: k div, s = a ln Re + b, Open image in new window (16) Open image in new window Figure 5 Variation of k div, s with Re and Q s,i / Q c,i.
Similar(46)
The STARFM algorithm was applied to each MODIS data series to produce up to twelve synthetic images corresponding to each Landsat image.
An attempt to do that was reported by Verbanac et al. (2009), but they used "a single averaged external field approximation time series to be subtracted from each observatory data series", while our approach used such time series determined for each observatory of the study.
15 surrogate series were generated from each original data series.
Uncertainties for individual analyses were obtained for each modelled data series by determining the standard deviation where multiple analyses were obtained for a single year of that series.
This error norm is based on the mean error norm of the optimised CDF for each resampled (replicate) data series.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com