Noun:

वक्रता,

skewness's Usage Examples:

deviation (or variance), the minimum and maximum values of the variables, kurtosis and skewness.

order relationship between mode, mean and median, the sign of these coefficients does not give information about the type of skewness (left/right).

{\displaystyle \beta } determines the skewness of the distribution, it should not be confused with the typical skewness coefficient or 3rd standardized moment.

the normal-inverse Gaussian distribution are often used to construct a heaviness and skewness plot called the NIG-triangle.

the first moment is the expected value, the second central moment is the variance, the third standardized moment is the skewness, and the fourth standardized.

{\displaystyle {\text{skewness}}(Y){\text{skewness}}(X){\frac.

moments, using the method of moments, as in the skewness (3rd moment) or kurtosis (4th moment), if the higher moments are defined and finite.

mean absolute deviation a measure of the shape of the distribution like skewness or kurtosis if more than one variable is measured, a measure of statistical.

Statistics " Probability Letters 8:297-299 Klaassen CAJ, Mokveld PJ, van Es B (2000) Squared skewness minus kurtosis.

considered either descriptively, using terms such as "J-shaped", or numerically, using quantitative measures such as skewness and kurtosis.

second central moment is the variance, the third standardized moment is the skewness, and the fourth standardized moment is the kurtosis.

the skew normal distribution is a continuous probability distribution that generalises the normal distribution to allow for non-zero skewness.

distribution is a probability distribution that exhibits a large skewness or kurtosis, relative to that of either a normal distribution or an exponential distribution.

Synonyms:

lopsidedness, imbalance, asymmetry, dissymmetry,

Antonyms:

regularity, balance, equilibrium, radial symmetry, symmetry,