Central tendency Packages

Calculate the mid-range of a single-precision floating-point strided array.

Calculate the arithmetic mean of a strided array, ignoring NaN values and using ordinary recursive summation.

Calculate the arithmetic mean of a strided array, ignoring NaN values and using a two-pass error correction algorithm.

Calculate the arithmetic mean of a strided array, ignoring NaN values and using Welford's algorithm.

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using Welford's algorithm.

Create an iterator which iteratively computes a cumulative geometric mean.

Create an iterator which iteratively computes a cumulative harmonic mean.

Create an iterator which iteratively computes a cumulative arithmetic mean.

Create an iterator which iteratively computes a cumulative arithmetic mean of absolute values.

Create an iterator which iteratively computes a cumulative arithmetic mean of squared absolute values.

Compute an unbiased sample variance incrementally.

Compute the mid-range of all iterated values.

Create an iterator which iteratively computes a cumulative mid-range.

Compute a weighted arithmetic mean incrementally.

Compute the arithmetic mean over all iterated values.

Compute the arithmetic mean of absolute values for all iterated values.

Compute the arithmetic mean of squared absolute values for all iterated values.

Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation.

Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.

Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using pairwise summation.