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positive skewness

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positive skewness [′päz·əd·iv ′skü·nəs]
(statistics)
Property of a unimodal distribution with a longer tail in the direction of higher values of the random variable.


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A normal distribution is symmetric, and has a skewness value of zero whereas a distribution with a significant positive skewness has a long right tail indicative of pixels with higher signal intensity, ie, greater fat.
In addition, squared daily returns in all markets (not reported) exhibit very high positive skewness and excess kurtosis.
Indices' returns display significant positive skewness where the null hypothesis of skewness coefficients conforming to the normal distribution value of zero is rejected.
 
 
 
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