skewness


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Related to skewness: standard deviation, kurtosis

skewness

[′skyü·nəs]
(statistics)
The degree to which a distribution departs from symmetry about its mean value.
References in periodicals archive ?
The normal curve takes many forms: a review of skewness and kurtosis, in Annual Meeting of the Southwest Educational Research Association, 24-26 January 1991, San Antonio, TX (ED 342790).
TABLE 1 Sample Statistics for Benefit Payment Ratios of Three Types of Life Insurance Line i Age Type Mean Variance Skewness Kurtosis 1 (25) 10-year term 0.
iii) both the skewness and the kurtosis values decrease as n is increased, but even for samples of size 4000, both skewness and kurtosis are quite far from 0, indicating a serious departure from normality in the probability distribution of sample mean of n slot pulls from any of the four games considered in our simulation, and
The descriptive statistics techniques used for analysis of return for selected banks are mean, median, standard deviation, kurtosis and skewness.
Model Evaluation: Relationships between Mean, Variance, and Skewness
Systems that have a natural lower or upper limit tend to have non-normality due to skewness, since nature limits the symmetry of the distribution.
For the extended Fama-French model, we add market skewness as an additional independent variable.
In addition, SPSS v17 calculates skewness which indicates the extent to which the distribution of a question's responses are positively skewed (i.
Factors for momentum, investment, liquidity, and skewness help to explain aftermarket returns, although size and book-to-market tend to proxy for skewness.
2002, 2003) demonstrate that distributions of hedge funds returns have a negative skewness and an excess kurtosis.
Moreover, if the probability distribution of return possibilities is not Normal and possesses a substantial enough amount of skewness, then guarantee as a third indicator for possible value description gains even bigger importance as only in such a manner the expected value of return can be fully perceived and thoroughly quantitatively described.