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One of the most widely used distribution is Weibull distribution.
The normal distribution is the most commonly used distribution in both statistical theory and applications.
To date, triangular distribution is the most commonly used distribution for modeling expert judgment in the AHP [15, 22].
In the analysis, the used distribution shaping factor is a=1.2, the same as used, e.g., in [17].
Weibull stress is based on its use of a two parameter Weibull distribution, a commonly used distribution in probabilistic engineering.
Such a probability distribution is allowed to be any commonly used distribution over the interval [0,1] with known conditional probability.
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Specifically, we consider some widely used distributions, including discrete uniform distribution, geometric distribution, Poisson distribution, and binomial distribution.
The most frequently used distributions are Nakagami-m, Rice, Rayleigh, -, and Weibull.
MCIDs were calculated using a commonly used distribution-based method: one standard error of measurement (SEM) (12, 16).
Among the most commonly used distribution-based methods to interpret clinical significance is the effect size [ 11].
Further, we used distribution-based methods to identify thresholds of change [ 21] because use of an anchor-based method was not possible using these data.
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