Classes in this File | Line Coverage | Branch Coverage | Complexity | ||||||||
AbstractDistribution |
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| 2.0;2 |
1 | /* |
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2 | * Copyright 2004 The Apache Software Foundation. |
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3 | * |
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4 | * Licensed under the Apache License, Version 2.0 (the "License"); |
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5 | * you may not use this file except in compliance with the License. |
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6 | * You may obtain a copy of the License at |
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7 | * |
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8 | * http://www.apache.org/licenses/LICENSE-2.0 |
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9 | * |
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10 | * Unless required by applicable law or agreed to in writing, software |
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11 | * distributed under the License is distributed on an "AS IS" BASIS, |
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12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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13 | * See the License for the specific language governing permissions and |
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14 | * limitations under the License. |
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15 | */ |
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16 | package org.apache.commons.math.distribution; |
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17 | ||
18 | import java.io.Serializable; |
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19 | ||
20 | import org.apache.commons.math.MathException; |
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21 | ||
22 | /** |
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23 | * Base class for probability distributions. |
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24 | * |
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25 | * @version $Revision$ $Date: 2005-02-26 05:11:52 -0800 (Sat, 26 Feb 2005) $ |
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26 | */ |
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27 | public abstract class AbstractDistribution |
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28 | implements Distribution, Serializable { |
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29 | ||
30 | /** Serializable version identifier */ |
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31 | static final long serialVersionUID = -38038050983108802L; |
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32 | ||
33 | /** |
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34 | * Default constructor. |
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35 | */ |
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36 | protected AbstractDistribution() { |
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37 | 650 | super(); |
38 | 650 | } |
39 | ||
40 | /** |
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41 | * For a random variable X whose values are distributed according |
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42 | * to this distribution, this method returns P(x0 ≤ X ≤ x1). |
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43 | * <p> |
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44 | * The default implementation uses the identity |
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45 | * <p> |
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46 | * P(x0 ≤ X ≤ x1) = P(X ≤ x1) - P(X ≤ x0) |
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47 | * |
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48 | * @param x0 the (inclusive) lower bound |
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49 | * @param x1 the (inclusive) upper bound |
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50 | * @return the probability that a random variable with this distribution |
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51 | * will take a value between <code>x0</code> and <code>x1</code>, |
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52 | * including the endpoints. |
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53 | * @throws MathException if the cumulative probability can not be |
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54 | * computed due to convergence or other numerical errors. |
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55 | * @throws IllegalArgumentException if <code>x0 > x1</code> |
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56 | */ |
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57 | public double cumulativeProbability(double x0, double x1) |
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58 | throws MathException { |
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59 | 442 | if (x0 > x1) { |
60 | 16 | throw new IllegalArgumentException |
61 | ("lower endpoint must be less than or equal to upper endpoint"); |
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62 | } |
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63 | 426 | return cumulativeProbability(x1) - cumulativeProbability(x0); |
64 | } |
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65 | } |