public GaussianDistribution(double[] values) {
// Logger.getAnonymousLogger().info(String.valueOf(values.length));
// 1. mean
double sum = 0;
for (double v : values) sum += v;
this.mean = sum / values.length;
// System.out.println(this.mean);
// 2. variance
double[] deltas = values.clone();
for (int i = 0; i < values.length; i++) {
double diff = values[i] - this.mean;
deltas[i] = diff * diff;
}
sum = 0;
for (double v : deltas) sum += v;
this.variance = sum / (values.length - 1);
// 3. standard deviation
this.standardDeviation = Math.sqrt(this.variance);
}
public GaussianDistribution(double mean, double deviance) {
this.mean = mean;
this.variance = deviance;
this.standardDeviation = Math.sqrt(deviance);
}