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/*
 * Copyright (C) 2015 - present by OpenGamma Inc. and the OpenGamma group of companies
 *
 * Please see distribution for license.
 */
package com.opengamma.strata.math.impl.statistics.descriptive;

/**
 * Implementation of a quantile estimator.
 * 

* The estimation is one of the sorted sample data. Its index is given by the nearest (Math.round) integer to the * quantile multiplied by the size of the sample. * The Java index is the above index minus 1 (array index start at 0 and not 1). *

* Reference: Value-At-Risk, OpenGamma Documentation 31, Version 0.1, April 2015. */ public final class NearestIndexQuantileMethod extends DiscreteQuantileMethod { /** Default implementation. */ public static final NearestIndexQuantileMethod DEFAULT = new NearestIndexQuantileMethod(); @Override int index(double quantileSize) { return (int) Math.round(quantileSize); } @Override int sampleCorrection(int sampleSize) { return sampleSize; } @Override protected double indexShift() { return 0.5; } }





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