InversionTest.MonteCarloSampler.MCWilcoxonRankTest

Class MCWilcoxonRankTest

object --+ | MonteCarloEstimator --+ | MCHypothesisTest --+ | MCWilcoxonRankTest

Hypothesis test for the difference between means Terminates after a fixed number of samples

Instance Methods

__init__(self, sample1, sample2, alternative='two.sided', maxSamples=10000)
Initialize the estimator Before initializing, convert data points to their ranks

Inherited from MCHypothesisTest: getSampleFunction, getStatisticFunction

Inherited from MCHypothesisTest (private): _finalizeEstimate, _sampleFunction, _startEstimate, _updateSupport

Inherited from MonteCarloEstimator: addSamples, getEstimate, getNumSamples, updateEstimate

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __str__, __subclasshook__

Properties

[hide private]

Inherited from object: __class__

init(self, sample1, sample2, alternative=`'two.sided'`, maxSamples=10000)
(Constructor)

Initialize the estimator Before initializing, convert data points to their ranks

Parameters:

sample1 (list of object) - First sample of data points
sample2 (list of object) - Second sample of data points
alternative (str) - Alternate hypothesis, from the set GREATER_THAN_HYPOTHESIS, LESS_THAN_HYPOTHESIS, TWO_SIDED_HYPOTHESIS
maxSamples (int) - Maximum number of samples to run for an estimate

Overrides: object.__init__

Class MCWilcoxonRankTest

__init__(self, sample1, sample2, alternative='two.sided', maxSamples=10000) (Constructor)

init(self, sample1, sample2, alternative=`'two.sided'`, maxSamples=10000)
(Constructor)