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The Self-Efficacy for Physical Activity Scale evaluated confidence in ability to participate regularly in physical activities, with higher scores indicating greater self-efficacy for physical activity.
We evaluated confidence in this scenario choice by simulating 500 pseudo-observed data sets under the constant Ne scenario, performing ABC analyses and calculating the number of times the bottleneck scenario was incorrectly chosen, and found that in no case did this occur (suggesting a Type 1 error rate of <0.002).
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Hence, calculating and evaluating confidence limits and F tests permitted to arrive at a meaningful and reliable fitting procedure.
The other is based on the differential evolution method (hereinafter called DE method), where we are not able to evaluate confidence intervals.
In discussing their data, Mickes et al. (2011) suggested that a lifetime of experience in evaluating confidence of memories makes the confidence scale natural to use even with no special instructions.
To evaluate confidence degree of computational and experimental data, a comparison between experimental neutron yield reported by AECL, BNL and theoretical data obtained by MCNPX 2.6.0 code calculations has been carried out for different targets.
The probabilistic or classical reliability theory is built on the principles of probability theory which introduces the probabilistic measure for evaluating confidence levels; the theory introduced in this paper is based on the possibility theory which uses a new confidence measure: the measure of possibility.
One new computer program for spectral analysis improves the standard Lomb Scargle periodogram approach in two ways: (1) It explicitly adjusts the statistical significance to any bias introduced by variance reduction smoothing, and (2) it uses a permutation test to evaluate confidence levels, which is better suited than parametric methods when neighbouring frequencies are highly correlated.
When we were approached to use our industry methodology, typically used to discover the success factors of an Experience, to define and evaluate confidence, I jumped at the chance to work on something so imperative to a cause that is fundamental to the future.
One advantage of our methodology is that all proposed estimators require only the summary statistics (z-values or p-values) rather than the raw data, although the availability of raw data allows non-parametric bootstrap to evaluate confidence intervals.
To evaluate confidence in the clustering results, the R bootstrap resampling package pvclust was used.
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