KolmogorovTwoSample Members

	Name	Description
	KolmogorovTwoSample	Constructs a two sample Kolmogorov-Smirnov goodness-of-fit test.

	Name	Description
	Equals	Determines whether the specified Object is equal to the current Object. (Inherited from Object.)
	Finalize	Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection. (Inherited from Object.)
	GetHashCode	Serves as a hash function for a particular type. (Inherited from Object.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	ToString	Returns a String that represents the current Object. (Inherited from Object.)

	Name	Description
	MaximumDifference	$D^{+}$ , the maximum difference between the theoretical and empirical CDF's.
	MinimumDifference	$D^{-}$ , the minimum difference between the theoretical and empirical CDF's.
	NumberMissingX	Returns the number of missing values in the x sample.
	NumberMissingY	The number of missing values in the y sample.
	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.
	TestStatistic	The test statistic, $D = \max(D^{+}, D^{-})$ .
	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 $p_1 \ge 1/2$ ). This approximation is nearly exact when $p_1 \lt 0.1$ .
	Z	The normalized D statistic without the continuity correction applied.

Constructors