Reference

Quick Summary

These methods are the most commonly used:

test_statistics(lnl[, statistic, ...])	Return test statistic computed from likelihood curves.
neyman_pvals(ts, weights[, freeze_truth_index])	Compute right-tailed p-values from test statistics ts using a Neyman construction.
intervals(ps, hypotheses[, interpolate, cl])	Set confidence intervals on hypotheses based on p-values.
ts_and_pvals(lnl[, weights, statistic, cls, ...])	Compute frequentist test statistics and p-values for likelihood ratios

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