@stdlib/stats-kde2d
Two-dimensional kernel density estimation.
Two-dimensional kernel density estimation.
Compute the Kruskal-Wallis test for equal medians.
One-sample Kolmogorov-Smirnov goodness-of-fit test.
Levene's test for equal variances.
Locally-weighted polynomial regression via the LOWESS algorithm.
Adjust supplied p-values for multiple comparisons via a specified method.
Compute a Pearson product-moment correlation test between paired samples.
Compute ranks for values of an array-like object.
One-sample and paired Student's t-Test.
Two-sample Student's t-Test.
Two-sample F-test for equal variances
Wilcoxon signed rank test.
One-sample and paired z-Test.
Create an iterator which iteratively computes a moving sum of squared absolute values.
Compute the product of all iterated values.
Compute the range of all iterated values.
Create a readable stream for generating pseudorandom numbers drawn from a binomial distribution.
Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.
Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.
Create a readable stream for generating pseudorandom numbers drawn from a Cauchy distribution.