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We calculated the overall agreement and the AC 1 statistic (Gwet 2001), which adjusts the overall agreement probability for chance agreement, considering all tools and pairs of tools.
The AC1 statistic is calculated as (p − e/(1 − e, where p is the overall percentage agreement and e is the chance agreement probability (Gwet 2001).
Thus, when the value of δ increases, the channel agreement probability tends to increase, as shown in Fig. 7, which was also obtained from experiment.
When there is no attacker (Fig. 6), the throughput increases monotonically when δ increases, due to improvement of the channel agreement probability.
We use ⌊(S − δ 0 )/δ⌋, which is referred to as the quantized RSS value in this paper, instead of the adjusted RSS value (S) itself in order to increase the channel agreement probability between the AP and the user, as explained in Fig. 1.
For all 104 video clips viewed by experts' proportionate agreement, Fleiss's kappa and the AC1 statistic were calculated (The AC1 statistic is designed to correct the overall agreement probability for chance agreement).
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In this case, the busy period (B) is geometrically distributed, since the channel agreement probabilities for two consecutive time slots are independent of each other.
The chance agreement probabilities for Cohen's Kappa (e(K)) and Gwet's AC1 (e were calculated using the formulae shown above, and in situations where the marginal count was zero (the raters had 100% agreement) as found for the Avoidant, Dependent, Passive-Aggressive and Paranoid PDs in the TW-SR and NW-SR pairs.
18 The AC1 statistic (AC2 for ordinal ratings) has been proposed by Gwet 18 as an alternative to the unstable κ coefficient, which relies on a chance-agreement probability expression that is valid only under the improbable assumption that all ratings are known to be independent.
A significant correlation existed between agreement and probability, although probability explained only 37%and31%1% of the variance in inter-rater and intra-rater agreement, respectively.
Regarding the ACA, we assessed whether participants' valuation of outcome probabilities was in agreement with probabilities from best to worst, within each of the four outcomes.
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