例句與造句

1. The two surfaces meet at the right edge defined by zero skewness.
2. This occurs for the symmetric case of ? = ? = 0, with zero skewness.
3. This yields a one-parameter leptokurtic family with zero mean, unit variance, zero skewness, and arbitrary non-negative excess kurtosis.
4. In probability theory and statistics, the "'skew normal distribution "'is a continuous probability distribution that generalises the normal distribution to allow for non-zero skewness.
5. This is the case of a coin toss or the series 1, 2, 3, 4, . . . Note, however, that the converse is not true in general, i . e . zero skewness does not imply that the mean is equal to the median.
6. It's difficult to find zero skewness in a sentence. 用zero skewness造句挺難的
7. (Excess kurtosis is negative for the beta distribution with zero skewness, ranging from-2 to 0, so that \ hat { \ nu }-and therefore the sample shape parameters-is positive, ranging from zero when the shape parameters approach zero and the excess kurtosis approaches-2, to infinity when the shape parameters approach infinity and the excess kurtosis approaches zero ).
8. The accompanying plot of skewness as a function of variance and mean shows that maximum variance ( 1 / 4 ) is coupled with zero skewness and the symmetry condition ( ? = 1 / 2 ), and that maximum skewness ( positive or negative infinity ) occurs when the mean is located at one end or the other, so that the " mass " of the probability distribution is concentrated at the ends ( minimum variance ).