SSJ API Documentation
Stochastic Simulation in Java
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Pearson5Gen.java
1/*
2 * Class: Pearson5Gen
3 * Description: random variate generators for the Pearson type V distribution
4 * Environment: Java
5 * Software: SSJ
6 * Copyright (C) 2001 Pierre L'Ecuyer and Universite de Montreal
7 * Organization: DIRO, Universite de Montreal
8 * @author
9 * @since
10 *
11 *
12 * Licensed under the Apache License, Version 2.0 (the "License");
13 * you may not use this file except in compliance with the License.
14 * You may obtain a copy of the License at
15 *
16 * http://www.apache.org/licenses/LICENSE-2.0
17 *
18 * Unless required by applicable law or agreed to in writing, software
19 * distributed under the License is distributed on an "AS IS" BASIS,
20 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
21 * See the License for the specific language governing permissions and
22 * limitations under the License.
23 *
24 */
25package umontreal.ssj.randvar;
26
27import umontreal.ssj.rng.*;
28import umontreal.ssj.probdist.*;
29
47@Deprecated
48public class Pearson5Gen extends RandomVariateGen {
49 protected double alpha;
50 protected double beta;
51
58 public Pearson5Gen(RandomStream s, double alpha, double beta) {
59 super(s, new Pearson5Dist(alpha, beta));
60 setParams(alpha, beta);
61 }
62
68 public Pearson5Gen(RandomStream s, double alpha) {
69 this(s, alpha, 1.0);
70 }
71
76 super(s, dist);
77 if (dist != null)
78 setParams(dist.getAlpha(), dist.getBeta());
79 }
80
85 public static double nextDouble(RandomStream s, double alpha, double beta) {
86 return Pearson5Dist.inverseF(alpha, beta, s.nextDouble());
87 }
88
92 public double getAlpha() {
93 return alpha;
94 }
95
99 public double getBeta() {
100 return beta;
101 }
102
103 protected void setParams(double alpha, double beta) {
104 if (alpha <= 0.0)
105 throw new IllegalArgumentException("alpha <= 0");
106 if (beta <= 0.0)
107 throw new IllegalArgumentException("beta <= 0");
108 this.alpha = alpha;
109 this.beta = beta;
110 }
111}
THIS CLASS HAS BEEN RENAMED InverseGammaDist .
double inverseF(double u)
Returns the inverse distribution function .
double getAlpha()
Returns the parameter of this object.
Pearson5Gen(RandomStream s, double alpha, double beta)
THIS CLASS HAS BEEN RENAMED InverseGammaGen .
Pearson5Gen(RandomStream s, double alpha)
Creates a Pearson5 random variate generator with parameters.
static double nextDouble(RandomStream s, double alpha, double beta)
Generates a variate from the Pearson V distribution with shape parameter and scale parameter .
double getBeta()
Returns the parameter of this object.
Pearson5Gen(RandomStream s, Pearson5Dist dist)
Creates a new generator for the distribution dist, using stream s.
This interface defines the basic structures to handle multiple streams of uniform (pseudo)random numb...
double nextDouble()
Returns a (pseudo)random number from the uniform distribution over the interval , using this stream,...