public ExpectedValue(DistributionFunction df) {
DistributionTable distribution = df.getDistributionTable();
double expected = 0;
int dtSize = distribution.size();
int i = 0;
while (i < dtSize) {
DiscreteValue val = distribution.getDiscreteValueInRow(i);
Probability prob = distribution.getProbabilityInRow(i);
expected += val.getValue() * prob.getValue();
i++;
}
expectedValue = Probability.round(expected);
}
/** Returns the cumulative distribution function. */
public double cdf(double x) {
return Probability.gamma(alpha, lambda, x);
}
@Test
public void shouldReturnProbabilityNotGettingEvent() {
probabilityOfEventHappening = new Probability(0.6);
Probability probabilityOfEventNotHappening = new Probability(0.4);
assertEquals(probabilityOfEventNotHappening, probabilityOfEventHappening.notHappeningEvent());
}
