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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.LogisticDistribution;
+import de.lmu.ifi.dbs.elki.utilities.documentation.Reference;
+import de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer;
+
+/**
+ * Estimate the parameters of a Logistic Distribution, using the methods of
+ * L-Moments (LMM).
+ *
+ * Reference:
+ * <p>
+ * J. R. M. Hosking<br />
+ * Fortran routines for use with the method of L-moments Version 3.03<br />
+ * IBM Research.
+ * </p>
+ *
+ * @author Erich Schubert
+ *
+ * @apiviz.has LogisticDistribution
+ */
+@Reference(authors = "J.R.M. Hosking", title = "Fortran routines for use with the method of L-moments Version 3.03", booktitle = "IBM Research Technical Report")
+public class LogisticLMMEstimator extends AbstractLMMEstimator<LogisticDistribution> {
+ /**
+ * Static instance.
+ */
+ public static final LogisticLMMEstimator STATIC = new LogisticLMMEstimator();
+
+ /**
+ * Constructor. Private: use static instance.
+ */
+ private LogisticLMMEstimator() {
+ super();
+ }
+
+ @Override
+ public int getNumMoments() {
+ return 2;
+ }
+
+ @Override
+ public LogisticDistribution estimateFromLMoments(double[] xmom) {
+ // The original publication would also estimate a shape, but we don't have
+ // the generalized logistic distribution yet.
+ // So we continue as if the Type II shape is 0, fairly trivial:
+ return new LogisticDistribution(xmom[0], xmom[1]);
+ }
+
+ @Override
+ public Class<? super LogisticDistribution> getDistributionClass() {
+ return LogisticDistribution.class;
+ }
+
+ /**
+ * Parameterization class.
+ *
+ * @author Erich Schubert
+ *
+ * @apiviz.exclude
+ */
+ public static class Parameterizer extends AbstractParameterizer {
+ @Override
+ protected LogisticLMMEstimator makeInstance() {
+ return STATIC;
+ }
+ }
+}