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Mimesis is an imitation, coming directly from the Greek word. [9] Archetype is the original idea or model that is emulated, where the emulations can be skeuomorphic. [ 10 ] Skeuomorphism is parallel to, but different from, path dependence in technology, where an element's functional behavior is maintained even when the original reasons for its ...
Example distribution with positive skewness. These data are from experiments on wheat grass growth. In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness value can be positive, zero, negative, or undefined.
skew-whiff skewed, uneven, not straight skint (informal) out of money (US: broke) skip industrial open-topped rubbish bin (US: dumpster) skirting board a wooden board covering the lowest part of an interior wall (US: baseboard) [152] skive [off] (informal) to sneak off, avoid work; to play truant (US: play hookey) slag *
a torsion angle between 30° to 90° and −30° to −90° is called synclinal (sc), also called gauche or skew [34] a torsion angle between 90° and 150° or −90° and −150° is called anticlinal (ac)
Skew normal distribution, a probability distribution; Skew field or division ring; Skew-Hermitian matrix; Skew lattice; Skew polygon, whose vertices do not lie on a plane; Infinite skew polyhedron; Skew-symmetric graph; Skew-symmetric matrix; Skew tableau, a generalization of Young tableaux; Skewness, a measure of the asymmetry of a probability ...
A fat-tailed distribution is a probability distribution that exhibits a large skewness or kurtosis, relative to that of either a normal distribution or an exponential distribution. [when defined as?] In common usage, the terms fat-tailed and heavy-tailed are sometimes synonymous; fat-tailed is sometimes also defined as a subset of heavy-tailed ...
Trump himself used the word retribution a whole lot. Jackson did not use the word retribution, but he was certainly seeking retribution. There were not only people he wanted to put in place.
D'Agostino's K-squared test is a goodness-of-fit normality test based on a combination of the sample skewness and sample kurtosis, as is the Jarque–Bera test for normality. For non-normal samples, the variance of the sample variance depends on the kurtosis; for details, please see variance.