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+package de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator;
+
+/*
+ This file is part of ELKI:
+ Environment for Developing KDD-Applications Supported by Index-Structures
+
+ Copyright (C) 2013
+ Ludwig-Maximilians-Universität München
+ Lehr- und Forschungseinheit für Datenbanksysteme
+ ELKI Development Team
+
+ This program is free software: you can redistribute it and/or modify
+ it under the terms of the GNU Affero General Public License as published by
+ the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ This program is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ GNU Affero General Public License for more details.
+
+ You should have received a copy of the GNU Affero General Public License
+ along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+import de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution;
+import de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer;
+
+/**
+ * Robust parameter estimation for the LogGamma distribution.
+ *
+ * A modified algorithm for LogGamma distributions.
+ *
+ * @author Erich Schubert
+ *
+ * @apiviz.has LogGammaAlternateDistribution - - estimates
+ */
+public class LogGammaAlternateExpMADEstimator extends AbstractExpMADEstimator<LogGammaAlternateDistribution> {
+ /**
+ * Static estimator, more robust to outliers by using the median.
+ */
+ public static final LogGammaAlternateExpMADEstimator STATIC = new LogGammaAlternateExpMADEstimator();
+
+ /**
+ * Private constructor.
+ */
+ private LogGammaAlternateExpMADEstimator() {
+ // Do not instantiate - use static class
+ }
+
+ @Override
+ public LogGammaAlternateDistribution estimateFromExpMedianMAD(double median, double mad) {
+ if (median < Double.MIN_NORMAL) {
+ throw new ArithmeticException("Cannot estimate Gamma parameters on a distribution with zero median.");
+ }
+ if (mad < Double.MIN_NORMAL) {
+ throw new ArithmeticException("Cannot estimate Gamma parameters on a distribution with zero MAD.");
+ }
+
+ final double b = median / (mad * mad);
+ final double k = median * b;
+ if (!(k > 0.) || !(b > 0.)) {
+ throw new ArithmeticException("LogGammaAlternate estimation produced non-positive parameter values: k=" + k + " b=" + b + " median=" + median + " mad=" + mad);
+ }
+ return new LogGammaAlternateDistribution(k, Math.log(b), 0.);
+ }
+
+ @Override
+ public Class<? super LogGammaAlternateDistribution> getDistributionClass() {
+ return LogGammaAlternateDistribution.class;
+ }
+
+ /**
+ * Parameterization class.
+ *
+ * @author Erich Schubert
+ *
+ * @apiviz.exclude
+ */
+ public static class Parameterizer extends AbstractParameterizer {
+ @Override
+ protected LogGammaAlternateExpMADEstimator makeInstance() {
+ return STATIC;
+ }
+ }
+}