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diff --git a/src/main/java/org/apache/commons/math3/distribution/AbstractMultivariateRealDistribution.java b/src/main/java/org/apache/commons/math3/distribution/AbstractMultivariateRealDistribution.java
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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.math3.distribution;
+
+import org.apache.commons.math3.exception.NotStrictlyPositiveException;
+import org.apache.commons.math3.exception.util.LocalizedFormats;
+import org.apache.commons.math3.random.RandomGenerator;
+
+/**
+ * Base class for multivariate probability distributions.
+ *
+ * @since 3.1
+ */
+public abstract class AbstractMultivariateRealDistribution implements MultivariateRealDistribution {
+    /** RNG instance used to generate samples from the distribution. */
+    protected final RandomGenerator random;
+
+    /** The number of dimensions or columns in the multivariate distribution. */
+    private final int dimension;
+
+    /**
+     * @param rng Random number generator.
+     * @param n Number of dimensions.
+     */
+    protected AbstractMultivariateRealDistribution(RandomGenerator rng, int n) {
+        random = rng;
+        dimension = n;
+    }
+
+    /** {@inheritDoc} */
+    public void reseedRandomGenerator(long seed) {
+        random.setSeed(seed);
+    }
+
+    /** {@inheritDoc} */
+    public int getDimension() {
+        return dimension;
+    }
+
+    /** {@inheritDoc} */
+    public abstract double[] sample();
+
+    /** {@inheritDoc} */
+    public double[][] sample(final int sampleSize) {
+        if (sampleSize <= 0) {
+            throw new NotStrictlyPositiveException(LocalizedFormats.NUMBER_OF_SAMPLES, sampleSize);
+        }
+        final double[][] out = new double[sampleSize][dimension];
+        for (int i = 0; i < sampleSize; i++) {
+            out[i] = sample();
+        }
+        return out;
+    }
+}