@stdlib/stats-base-dsvariancepn
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm with extended accumulation and returning an extended precision result.
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm with extended accumulation and returning an extended precision result.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using a two-pass error correction algorithm with extended accumulation, and returning an extended precision result.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using Welford's algorithm with extended accumulation, and returning an extended precision result.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using extended accumulation, and returning an extended precision result.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
Calculate the minimum absolute value of a single-precision floating-point strided array.
Calculate the minimum value of a sorted single-precision floating-point strided array.
Calculate the maximum value of a single-precision floating-point strided array according to a mask.
Calculate the minimum value of a single-precision floating-point strided array according to a mask.
Calculate the range of a single-precision floating-point strided array according to a mask.
Calculate the maximum value of a single-precision floating-point strided array, ignoring NaN values.
Calculate the maximum absolute value of a single-precision floating-point strided array, ignoring NaN values.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.
Test if a value is an ndarray-like object containing single-precision floating-point numbers.
Test if a value is a 1-dimensional ndarray-like object containing single-precision floating-point numbers.
Single-precision complex number functions.
Base (i.e., lower-level) single-precision complex number functions.
Base (i.e., lower-level) single-precision complex number assertion functions.