Eliminated main method.
git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@383457 13f79535-47bb-0310-9956-ffa450edef68
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@ -21,22 +21,33 @@ import org.apache.commons.math.TestUtils;
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/**
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* Abstract base class for {@link ContinuousDistribution} tests.
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* <p>
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* To create a concrete test class for a continuous distribution implementation,
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* implement makeDistribution() to return a distribution instance to use in
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* tests and each of the test data generation methods below. In each case, the
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* test points and test values arrays returned represent parallel arrays of
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* inputs and expected values for the distribution returned by makeDistribution().
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* <p>
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* To create a concrete test class for a continuous distribution
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* implementation, first implement makeDistribution() to return a distribution
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* instance to use in tests. Then implement each of the test data generation
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* methods below. In each case, the test points and test values arrays
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* returned represent parallel arrays of inputs and expected values for the
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* distribution returned by makeDistribution(). Default implementations
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* are provided for the makeInverseXxx methods that just invert the mapping
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* defined by the arrays returned by the makeCumulativeXxx methods.
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* <p>
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* makeCumulativeTestPoints() -- arguments used to test cumulative probabilities
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* makeCumulativeTestValues() -- expected cumulative probabilites
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* makeInverseCumulativeTestPoints() -- arguments used to test inverse cdf evaluation
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* makeInverseCumulativeTestPoints() -- arguments used to test inverse cdf
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* makeInverseCumulativeTestValues() -- expected inverse cdf values
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* <p>
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* To implement additional test cases with different distribution instances and test data,
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* use the setXxx methods for the instance data in test cases and call the verifyXxx methods
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* to verify results.
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* To implement additional test cases with different distribution instances and
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* test data, use the setXxx methods for the instance data in test cases and
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* call the verifyXxx methods to verify results.
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* <p>
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* Error tolerance can be overriden by implementing getTolerance().
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* <p>
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* Test data should be validated against reference tables or other packages
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* where possible, and the source of the reference data and/or validation
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* should be documented in the test cases. A framework for validating
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* distribution data against R is included in the /src/R source tree.
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* <p>
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* See {@link NormalDistributionTest} and {@link ChiSquareDistributionTest}
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* for examples.
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*
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* @version $Revision$ $Date$
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*/
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@ -33,10 +33,6 @@ public class NormalDistributionTest extends ContinuousDistributionAbstractTest
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super(arg0);
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}
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public static void main(String[] args) {
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junit.swingui.TestRunner.run(NormalDistributionTest.class);
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}
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//-------------- Implementations for abstract methods -----------------------
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/** Creates the default continuous distribution instance to use in tests. */
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