As center-based, model-based, and most hierarchical clustering algorithms require multivariate spherical clusters, substantially skewed distributions will cause issues. However, many clinical measures follow skewed distributions as distance measures also give higher weights to the tail of the distribution, ...
In recent economic experiments, lotteries with left-skewed background risks elicit more prudent choices than lotteries with right-skewed background risks. In this letter, we use an expected utility framework to show that a skewed zero-mean background risk may induce not only prudent but also ...
An important part of our design is the inclusion of both right- and left-skewed lotteries, with the latter less commonly studied. However, left skewness is a feature in many important economic decisions such as financial markets, agricultural production, insurance risks, health outcomes, and ...
Its maximum value goes from 𝑝𝑖=0.5pi=0.5 (case of symmetry with 𝛿=0δ=0) to the left or right as the parameter 𝛿δ decreases or increases. As can be seen, the marginal effects takes on its maximum values at different probability levels depending upon the value of 𝛿δ....
The probability density function of the fWd has a heavy right tail. By varying the scale parameter, the skewness of the fWd can be modulated. Long-range dependence is common among real stochastic time series [4,5]. The fractional Weibull process (fWp) is derived in [6] with respect to ...
(Galton index is a skewness measure that does not utilize the third moment and has a range of (−1, 1) with 0 signifying symmetry and a positive value indicating a longer right tail). Ref. [25] studied the survival times for some breast cancer patients and reported that the survival ...