public void GetDesignValue_ValidLogNormalDistributionWithNonZeroShift_ReturnExpectedValue(
double expectedValue, double variance, double shift, double percentile,
double expectedResult)
{
// Setup
const int numberOfDecimalPlaces = 4;
var logNormalDistribution = new VariationCoefficientLogNormalDistribution(numberOfDecimalPlaces)
{
Mean = (RoundedDouble)expectedValue,
CoefficientOfVariation = (RoundedDouble)Math.Sqrt(variance),
Shift = (RoundedDouble)shift
};
var designVariable = new VariationCoefficientLogNormalDistributionDesignVariable(logNormalDistribution)
{
Percentile = percentile
};
// Call
RoundedDouble result = designVariable.GetDesignValue();
// Assert
Assert.AreEqual(numberOfDecimalPlaces, result.NumberOfDecimalPlaces);
Assert.AreEqual(expectedResult, result, result.GetAccuracy());
}
public void GetProperties_WithData_ReturnExpectedValues()
{
// Setup
var mockRepository = new MockRepository();
var handler = mockRepository.Stub <IObservablePropertyChangeHandler>();
mockRepository.ReplayAll();
var distribution = new VariationCoefficientLogNormalDistribution(2)
{
Mean = new RoundedDouble(2, 1),
CoefficientOfVariation = new RoundedDouble(2, 2)
};
var designVariable = new VariationCoefficientLogNormalDistributionDesignVariable(distribution);
// Call
var properties = new VariationCoefficientLogNormalDistributionDesignVariableProperties(VariationCoefficientDistributionReadOnlyProperties.None,
designVariable,
handler);
// Assert
Assert.AreEqual("Lognormaal", properties.DistributionType);
Assert.AreEqual(distribution.Mean, properties.Mean);
Assert.AreEqual(distribution.CoefficientOfVariation, properties.CoefficientOfVariation);
Assert.AreEqual(designVariable.GetDesignValue(), properties.DesignValue);
}
