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def | python.test_statistics.ks_2samp (data1, data2, binned=False) |
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def | python.test_statistics.chi2_2samp (data1, data2, normed=True, binned=True) |
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def | python.test_statistics.BDM_2samp (data1, data2, normed=True, binned=True) |
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def | python.test_statistics.CVM_2samp (data1, data2, normed=True, binned=False) |
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def | python.test_statistics._anderson_ksamp_midrank_binned (data, Z, Zstar, k, n, N) |
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def | python.test_statistics._anderson_ksamp_midrank (samples, Z, Zstar, k, n, N) |
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def | python.test_statistics._anderson_ksamp_right (samples, Z, Zstar, k, n, N) |
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def | python.test_statistics.anderson_ksamp (data1, data2, binned=False, midrank=True) |
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def | python.test_statistics._log_fac (m, n) |
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def | python.test_statistics._log_binomial (n, k) |
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def | python.test_statistics._loglikelihood (data1, data2, N_data1, N_data2, ratio, H="H0") |
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def | python.test_statistics._zloglikelihood (data1, data2, N_data1, N_data2, H="H0") |
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def | python.test_statistics.likelihoodratio_ksamp (data1, data2, normed=True, binned=True) |
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def | python.test_statistics.likelihoodvalue_ksamp (data1, data2, normed=True, binned=True) |
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