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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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bool | python.test_statistics.DEBUG = False |
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list | python.test_statistics.statistic_seq = [] |
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| python.test_statistics.Ks_2sampResult = namedtuple('Ks_2sampResult', ('statistic', 'pvalue','ndf')) |
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| python.test_statistics.Chi2_2sampResult = namedtuple('Chi2_2sampResult', ('statistic', 'pvalue','ndf')) |
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| python.test_statistics.BDM_2sampResult = namedtuple('BDM_2sampResult', ('statistic', 'pvalue', 'ndf')) |
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| python.test_statistics.CVM_2sampResult = namedtuple('CVM_2sampResult', ('statistic', 'pvalue', 'ndf')) |
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| python.test_statistics.Anderson_ksampResult = namedtuple('Anderson_ksampResult', ('statistic', 'pvalue', 'ndf')) |
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| python.test_statistics.LikelihoodRatio_ksampResult = namedtuple('LikelihoodRatio_ksampResult', ('statistic', 'pvalue', 'ndf')) |
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| python.test_statistics.LikelihoodValue_ksampResult = namedtuple('LikelihoodValue_ksampResult', ('statistic', 'pvalue', 'ndf')) |
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