LogNormalDistribution extends AbstractRealDistribution { public double getScale() { return scale; } LogNormalDistribution();  LogNormalDistribution(double scale, double shape);  LogNormalDistribution(double scale, double shape, double inverseCumAccuracy);  LogNormalDistribution(RandomGenerator rng, double scale, double shape);  LogNormalDistribution(RandomGenerator rng,
                                 double scale,
                                 double shape,
                                 double inverseCumAccuracy); double getScale(); double getShape(); double density(double x); @Override double logDensity(double x); double cumulativeProbability(double x); @Override@Deprecated double cumulativeProbability(double x0, double x1); @Override double probability(double x0,
                              double x1); double getNumericalMean(); double getNumericalVariance(); double getSupportLowerBound(); double getSupportUpperBound(); boolean isSupportLowerBoundInclusive(); boolean isSupportUpperBoundInclusive(); boolean isSupportConnected(); @Override double sample(); static final double DEFAULT_INVERSE_ABSOLUTE_ACCURACY; }
@Test public void testGetScale() { LogNormalDistribution distribution = (LogNormalDistribution)getDistribution(); Assert.assertEquals(2.1, distribution.getScale(), 0); }