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+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.commons.math.distribution;
+
+import org.apache.commons.math.MathException;
+
+/**
+ * Base interface for probability distributions.
+ *
+ * @version $Revision: 1054524 $ $Date: 2011-01-03 05:59:18 +0100 (lun. 03 janv. 2011) $
+ */
+public interface Distribution {
+ /**
+ * For a random variable X whose values are distributed according
+ * to this distribution, this method returns P(X ≤ x). In other words,
+ * this method represents the (cumulative) distribution function, or
+ * CDF, for this distribution.
+ *
+ * @param x the value at which the distribution function is evaluated.
+ * @return the probability that a random variable with this
+ * distribution takes a value less than or equal to <code>x</code>
+ * @throws MathException if the cumulative probability can not be
+ * computed due to convergence or other numerical errors.
+ */
+ double cumulativeProbability(double x) throws MathException;
+
+ /**
+ * For a random variable X whose values are distributed according
+ * to this distribution, this method returns P(x0 &le; X &le; x1).
+ *
+ * @param x0 the (inclusive) lower bound
+ * @param x1 the (inclusive) upper bound
+ * @return the probability that a random variable with this distribution
+ * will take a value between <code>x0</code> and <code>x1</code>,
+ * including the endpoints
+ * @throws MathException if the cumulative probability can not be
+ * computed due to convergence or other numerical errors.
+ * @throws IllegalArgumentException if <code>x0 > x1</code>
+ */
+ double cumulativeProbability(double x0, double x1) throws MathException;
+
+}