/src/sample_kurtosis.js | simplestatistics@v7.8.0

Module

x/simplestatistics/src/sample_kurtosis.js

simple statistics for node & browser javascript

simple-statistics/simple-statistics

bayesian_classifier.d.ts

default

bayesian_classifier.js

default

bernoulli_distribution.d.ts

default

bernoulli_distribution.js

default

binomial_distribution.d.ts

default

binomial_distribution.js

chi_squared_distribution_table.d.ts

DistributionTable

default

chi_squared_distribution_table.js

default

chi_squared_goodness_of_fit.d.ts

default

chi_squared_goodness_of_fit.js

coefficient_of_variation.d.ts

default

coefficient_of_variation.js

default

combinations_replacement.d.ts

default

combinations_replacement.js

combine_variances.d.ts

default

combine_variances.js

default

cumulative_std_logistic_probability.d.ts

default

cumulative_std_logistic_probability.js

default

cumulative_std_normal_probability.d.ts

default

cumulative_std_normal_probability.js

equal_interval_breaks.d.ts

default

equal_interval_breaks.js

euclidean_distance.js

interquartile_range.d.ts

default

interquartile_range.js

default

inverse_error_function.d.ts

default

inverse_error_function.js

kernel_density_estimation.d.ts

BandwidthMethods

Kernels

default

kernel_density_estimation.js

default

linear_regression_line.d.ts

default

linear_regression_line.js

default

linear_regression.d.ts

median_absolute_deviation.d.ts

default

median_absolute_deviation.js

permutation_test.d.ts

default

permutations_heap.d.ts

default

permutations_heap.js

default

poisson_distribution.d.ts

default

poisson_distribution.js

quantile_rank_sorted.d.ts

default

quantile_rank_sorted.js

root_mean_square.d.ts

default

root_mean_square.js

default

sample_correlation.d.ts

default

sample_correlation.js

default

sample_covariance.d.ts

sample_rank_correlation.d.ts

default

sample_rank_correlation.js

sample_standard_deviation.d.ts

default

sample_standard_deviation.js

sample_with_replacement.d.ts

default

sample_with_replacement.js

shuffle_in_place.d.ts

silhouette_metric.d.ts

standard_deviation.d.ts

default

standard_deviation.js

default

standard_normal_table.d.ts

default

standard_normal_table.js

default

subtract_from_mean.d.ts

default

subtract_from_mean.js

default

sum_nth_power_deviations.d.ts

default

sum_nth_power_deviations.js

t_test_two_sample.d.ts

unique_count_sorted.d.ts

default

unique_count_sorted.js

wilcoxon_rank_sum..d.ts

import * as simplestatistics from "https://deno.land/x/simplestatistics@v7.8.0/src/sample_kurtosis.js";

Functions

default

Kurtosis is a measure of the heaviness of a distribution's tails relative to its variance. The kurtosis value can be positive or negative, or even undefined.