@stdlib/stats-incr-kurtosis
Compute a corrected sample excess kurtosis incrementally.
@stdlib/ndarray-base-assert-is-buffer-length-compatible
Determine if a buffer length is compatible with provided ndarray meta data.
@stdlib/stats-base-dists-negative-binomial-skewness
Negative binomial distribution skewness.
@stdlib/ndarray-base-strides2offset
Determine the index offset which specifies the location of the first indexed value in a multidimensional array based on a stride array.
@stdlib/ndarray-base-ndarraylike2object
Convert an ndarray-like object to an object likely to have the same "shape".
@stdlib/stats-base-dists-exponential-skewness
Exponential distribution skewness.
@stdlib/stats-base-dists-discrete-uniform-skewness
Discrete uniform distribution skewness.
@stdlib/ndarray-base-assert-is-buffer-length-compatible-shape
Determine if a buffer length is compatible with a provided shape array.
@stdlib/stats-base-dists-hypergeometric-skewness
Hypergeometric distribution skewness.
@stdlib/stats-base-dists-pareto-type1-skewness
Pareto (Type I) distribution skewness.
stats-base-dists-kumaraswamy-skewness
Kumaraswamy's double bounded distribution skewness.
@stdlib/stats-base-dists-invgamma-skewness
Inverse gamma distribution skewness.
stats-base-dists-planck-skewness
Planck (discrete exponential) distribution skewness.
@stdlib/slice-base-length
Compute the number of elements in a normalized slice.
stats-incr-nanskewness
Compute a corrected sample skewness incrementally, ignoring NaN values.