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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.MathUtil;
+import de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution;
+import de.lmu.ifi.dbs.elki.utilities.documentation.Reference;
+import de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer;
+
+/**
+ * Estimate Logistic distribution parameters using Median and MAD.
+ *
+ * Reference:
+ * <p>
+ * D. J. Olive<br />
+ * Applied Robust Statistics<br />
+ * Preprint of an upcoming book, University of Minnesota
+ * </p>
+ *
+ * @author Erich Schubert
+ *
+ * @apiviz.has LogLogisticDistribution
+ */
+@Reference(title = "Applied Robust Statistics", authors = "D. J. Olive", booktitle = "Applied Robust Statistics", url="http://lagrange.math.siu.edu/Olive/preprints.htm")
+public class LogLogisticMADEstimator extends AbstractMADEstimator<LogLogisticDistribution> {
+ /**
+ * Static instance.
+ */
+ public static final LogLogisticMADEstimator STATIC = new LogLogisticMADEstimator();
+
+ /**
+ * Private constructor, use static instance!
+ */
+ private LogLogisticMADEstimator() {
+ // Do not instantiate
+ }
+
+ @Override
+ public LogLogisticDistribution estimateFromMedianMAD(double median, double mad) {
+ return new LogLogisticDistribution(1. / median, MathUtil.LOG3 / mad);
+ }
+
+ @Override
+ public Class<? super LogLogisticDistribution> getDistributionClass() {
+ return LogLogisticDistribution.class;
+ }
+
+ /**
+ * Parameterization class.
+ *
+ * @author Erich Schubert
+ *
+ * @apiviz.exclude
+ */
+ public static class Parameterizer extends AbstractParameterizer {
+ @Override
+ protected LogLogisticMADEstimator makeInstance() {
+ return STATIC;
+ }
+ }
+}