@stdlib/stats-incr-maape
Compute the mean arctangent absolute percentage error (MAAPE) incrementally.
@stdlib/stats-incr-mmaape
Compute a moving arctangent mean absolute percentage error (MAAPE) incrementally.
@stdlib/stats-base-meanpn
Calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.
@stdlib/stats-base-dmeanvarpn
Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-base-snanmeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-dmeanpn
Calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.
@stdlib/stats-base-dmeanstdevpn
Calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-base-dsmeanpn
Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and returning an extended precision result.
stats-base-nanmeanwd
Calculate the arithmetic mean of a strided array, ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-dnanmeanpn
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.
@stdlib/stats-base-meankbn
Calculate the arithmetic mean of a strided array using an improved Kahan–Babuška algorithm.
@stdlib/stats-base-dmeanpw
Calculate the arithmetic mean of a double-precision floating-point strided array using pairwise summation.
@stdlib/stats-base-dnanmeanpw
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using pairwise summation.
@stdlib/stats-base-nanmeanpn
Calculate the arithmetic mean of a strided array, ignoring NaN values and using a two-pass error correction algorithm.
@stdlib/stats-base-smeanlipw
Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
@stdlib/stats-base-dmeankbn2
Calculate the arithmetic mean of a double-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-meanpw
Calculate the arithmetic mean of a strided array using pairwise summation.
@stdlib/stats-base-meanwd
Calculate the arithmetic mean of a strided array using Welford's algorithm.
@stdlib/stats-base-smeankbn
Calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.
@stdlib/stats-base-dsmeanpw
Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation with extended accumulation and returning an extended precision result.
@stdlib/stats-base-smeanpn
Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.
@stdlib/stats-base-smeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-dsmeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result.
@stdlib/stats-base-dmeanwd
Calculate the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-dsnanmeanpn
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.
@stdlib/stats-base-dnanmeanwd
Calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring NaN values.
@stdlib/stats-base-dmeanlipw
Calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
@stdlib/stats-base-dsnanmeanwd
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.
@stdlib/stats-base-dmeanli
Calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-smeankbn2
Calculate the arithmetic mean of a single-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-meankbn2
Calculate the arithmetic mean of a strided array using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-snanmeanpn
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.
stats-base-smeanli
Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-smeanpw
Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation.
@stdlib/stats-base-dists-chisquare-mean
Chi-squared distribution expected value.
@stdlib/stats-base-mediansorted
Calculate the median value of a sorted strided array.
@stdlib/stats-incr-meanabs2
Compute an arithmetic mean of squared absolute values incrementally.
@stdlib/stats-incr-mda
Compute the mean directional accuracy (MDA) incrementally.
@stdlib/stats-incr-mmda
Compute a moving mean directional accuracy (MDA) incrementally.
@stdlib/stats-incr-meanvar
Compute an arithmetic mean and unbiased sample variance incrementally.
@stdlib/stats-base-dists-exponential-mean
Exponential distribution expected value.
@stdlib/stats-incr-ewmean
Compute an exponentially weighted mean incrementally.
@stdlib/stats-base-dists-triangular-mean
Triangular distribution expected value.
@stdlib/stats-incr-mmae
Compute a moving mean absolute error (MAE) incrementally.
@stdlib/stats-incr-mape
Compute the mean absolute percentage error (MAPE) incrementally.
stats-incr-meanstdev
Compute an arithmetic mean and corrected sample standard deviation incrementally.
@stdlib/stats-incr-mmape
Compute a moving mean absolute percentage error (MAPE) incrementally.
@stdlib/stats-incr-mmpe
Compute a moving mean percentage error (MPE) incrementally.
@stdlib/stats-incr-mmeanabs2
Compute a moving arithmetic mean of squared absolute values incrementally.
@stdlib/stats-incr-mmeanabs
Compute a moving arithmetic mean of absolute values incrementally.
@stdlib/stats-incr-mmeanstdev
Compute a moving arithmetic mean and corrected sample standard deviation incrementally.
@stdlib/stats-base-dists-kumaraswamy-mean
Kumaraswamy's double bounded distribution expected value.
@stdlib/stats-base-dists-degenerate-mean
Degenerate distribution expected value.
@stdlib/stats-base-dists-cosine-mean
Raised cosine distribution expected value.
@stdlib/stats-base-dsmeanors
Calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and returning an extended precision result.
@stdlib/stats-base-dmeanstdev
Calculate the mean and standard deviation of a double-precision floating-point strided array.
@stdlib/stats-incr-meanabs
Compute an arithmetic mean of absolute values incrementally.
@stdlib/stats-base-nanmean
Calculate the arithmetic mean of a strided array, ignoring NaN values.
@stdlib/stats-base-dists-pareto-type1-mean
Pareto (Type I) distribution expected value.
@stdlib/stats-base-dnanmean
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values.
@stdlib/stats-base-dists-invgamma-mean
Inverse gamma distribution expected value.
@stdlib/stats-iter-mmean
Create an iterator which iteratively computes a moving arithmetic mean.
@stdlib/stats-base-snanmeanors
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation.
@stdlib/stats-iter-cumeanabs
Create an iterator which iteratively computes a cumulative arithmetic mean of absolute values.
@stdlib/stats-base-dsnanmeanors
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.
@stdlib/stats-base-dsnanmean
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using extended accumulation, and returning an extended precision result.
@stdlib/stats-iter-cugmean
Create an iterator which iteratively computes a cumulative geometric mean.