KolmogorovTwoSample Properties |
The KolmogorovTwoSample type exposes the following members.
Name | Description | |
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MaximumDifference | ,
the maximum difference between the theoretical and empirical CDF's.
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MinimumDifference | ,
the minimum difference between the theoretical and empirical CDF's.
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NumberMissingX |
Returns the number of missing values in the x sample.
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NumberMissingY |
The number of missing values in the y sample.
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OneSidedPValue |
Probability of the statistic exceeding D under
the null hypothesis of equality and against the
one-sided alternative. An exact probability
is computed if the number of observation is less than or equal to 80,
otherwise an approximate probability is computed.
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TestStatistic |
The test statistic, .
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TwoSidedPValue |
Probability of the statistic exceeding D under
the null hypothesis of equality and against the
two-sided alternative. This probability is twice the probability,
,
reported by OneSidedPValue,
(or 1.0 if ).
This approximation is nearly exact when
.
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Z |
The normalized D statistic without the continuity correction applied.
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