StatUtilsTest (Commons Math 3.2 Test API)

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org.apache.commons.math3.stat
Class StatUtilsTest

java.lang.Object
  org.apache.commons.math3.stat.StatUtilsTest

public final class StatUtilsTest
extends Object
extends Object

Test cases for the StatUtils class.

Version:: $Id: StatUtilsTest.java 1364030 2012-07-21 01:10:04Z erans $

Constructor Summary
`StatUtilsTest()`

Method Summary
`void`	`testArrayIndexConditions()`
`void`	`testDifferenceStats()`
`void`	`testGeometricMean()`
`void`	`testMax()`
`void`	`testMean()`
`void`	`testMin()`
`void`	`testN0andN1Conditions()`
`void`	`testNormalize1()` Run the test with the values 50 and 100 and assume standardized values
`void`	`testNormalize2()` Run with 77 random values, assuming that the outcome has a mean of 0 and a standard deviation of 1 with a precision of 1E-10.
`void`	`testPercentile()`
`void`	`testPopulationVariance()`
`void`	`testProduct()`
`void`	`testStats()` test stats
`void`	`testSumLog()`
`void`	`testSumSq()`
`void`	`testVariance()`

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

StatUtilsTest

public StatUtilsTest()

Method Detail

testStats

public void testStats()

test stats

testN0andN1Conditions

public void testN0andN1Conditions()

testArrayIndexConditions

public void testArrayIndexConditions()

testSumSq

public void testSumSq()

testProduct

public void testProduct()

testSumLog

public void testSumLog()

testMean

public void testMean()

testVariance

public void testVariance()

testPopulationVariance

public void testPopulationVariance()

testMax

public void testMax()

testMin

public void testMin()

testPercentile

public void testPercentile()

testDifferenceStats

public void testDifferenceStats()

testGeometricMean

public void testGeometricMean()

testNormalize1

public void testNormalize1()

Run the test with the values 50 and 100 and assume standardized values

testNormalize2

public void testNormalize2()

Run with 77 random values, assuming that the outcome has a mean of 0 and a standard deviation of 1 with a precision of 1E-10.