    001    /*
    002     * Licensed to the Apache Software Foundation (ASF) under one or more
    003     * contributor license agreements.  See the NOTICE file distributed with
    004     * this work for additional information regarding copyright ownership.
    005     * The ASF licenses this file to You under the Apache License, Version 2.0
    006     * (the "License"); you may not use this file except in compliance with
    007     * the License.  You may obtain a copy of the License at
    008     *
    009     *      http://www.apache.org/licenses/LICENSE-2.0
    010     *
    011     * Unless required by applicable law or agreed to in writing, software
    012     * distributed under the License is distributed on an "AS IS" BASIS,
    013     * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    014     * See the License for the specific language governing permissions and
    015     * limitations under the License.
    016     */
    017    package org.apache.commons.math.distribution;
    018
    019    import org.apache.commons.math.MathException;
    020
    021    /**
    022     * <p>Base interface for continuous distributions.</p>
    023     *
    024     * <p>Note: this interface will be extended in version 3.0 to include
    025     * <br/><code>public double density(double x)</code><br/>
    026     * that is, from version 3.0 forward, continuous distributions <strong>must</strong>
    027     * include implementations of probability density functions. As of version
    028     * 2.1, all continuous distribution implementations included in commons-math
    029     * provide implementations of this method.</p>
    030     *
    031     * @version $Revision: 924362 $ $Date: 2010-03-17 17:45:31 +0100 (mer. 17 mars 2010) $
    032     */
    033    public interface ContinuousDistribution extends Distribution {
    034
    035        /**
    036         * For this distribution, X, this method returns x such that P(X &lt; x) = p.
    037         * @param p the cumulative probability.
    038         * @return x.
    039         * @throws MathException if the inverse cumulative probability can not be
    040         *            computed due to convergence or other numerical errors.
    041         */
    042        double inverseCumulativeProbability(double p) throws MathException;
    043    }