@stdlib/stats-base-dists-beta-mean
Beta distribution expected value.
0.2.2 • Published 12 months ago
Average Packages
@stdlib/stats-base-dists-arcsine-median
Arcsine distribution median.
@stdlib/stats-base-dists-bernoulli-mean
Bernoulli distribution expected value.
@stdlib/stats-base-dists-degenerate-mean
Degenerate distribution expected value.
@stdlib/stats-base-dists-binomial-mean
Binomial distribution expected value.
@stdlib/stats-base-dists-betaprime-mean
Beta prime distribution expected value.
@stdlib/stats-base-dists-gamma-mean
Gamma distribution expected value.
@stdlib/stats-base-dists-poisson-mean
Poisson distribution expected value.
@stdlib/stats-base-dists-rayleigh-mean
Rayleigh distribution expected value.
@stdlib/stats-base-dists-t-mean
Student's t distribution expected value.
@stdlib/stats-base-dnanmean
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values.
@stdlib/stats-incr-meanabs2
Compute an arithmetic mean of squared absolute values incrementally.
@stdlib/stats-incr-meanstdev
Compute an arithmetic mean and corrected sample standard deviation incrementally.
@stdlib/stats-incr-meanvar
Compute an arithmetic mean and unbiased sample variance incrementally.
@stdlib/stats-incr-mgmean
Compute a moving geometric mean incrementally.
@stdlib/stats-incr-mhmean
Compute a moving harmonic mean incrementally.
@stdlib/stats-incr-mmaape
Compute a moving arctangent mean absolute percentage error (MAAPE) incrementally.
@stdlib/stats-incr-mmae
Compute a moving mean absolute error (MAE) incrementally.
@stdlib/stats-incr-mmda
Compute a moving mean directional accuracy (MDA) incrementally.
@stdlib/stats-incr-mme
Compute a moving mean error (ME) incrementally.