Jonathan Simon jonadsimon

## jensen_shannon_divergence.py
from scipy.stats import entropy
def jensen_shannon_div(p, q):
  m = (p + q) / 2
  return (entropy(p, m) + entropy(q, m)) / 2.0

## benjamini_hochberg_procedure.py
from statsmodels.sandbox.stats.multicomp import multipletests

reject, pvals_corrected, alphacSidak, alphacBonf = multipletests(p_values, alpha=0.2, method='fdr_bh')

## mann_whitney_u_test.py
from scipy.stats import mannwhitneyu

statistic, pvalue = mannwhitneyu(agent_durations, population_durations, use_continuity=True, alternative='two-sided')
	from scipy.stats import entropy
	def jensen_shannon_div(p, q):
	m = (p + q) / 2
	return (entropy(p, m) + entropy(q, m)) / 2.0
	from statsmodels.sandbox.stats.multicomp import multipletests

	reject, pvals_corrected, alphacSidak, alphacBonf = multipletests(p_values, alpha=0.2, method='fdr_bh')
	from scipy.stats import mannwhitneyu

	statistic, pvalue = mannwhitneyu(agent_durations, population_durations, use_continuity=True, alternative='two-sided')