C++ main module for mmsd Package  1.0
STAT_PoissonDistribution.h
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1 #ifndef STAT_PoissonDistribution_H
2 #define STAT_PoissonDistribution_H
3 
4 #include "STAT_Distribution.h"
5 #include <boost/math/distributions/poisson.hpp>
6 #include <boost/random/poisson_distribution.hpp>
7 #include <boost/random/variate_generator.hpp>
8 
17  SP_OBJECT(STAT_PoissonDistribution);
18  // ATTRIBUTES
19 
20 private:
21 
22 
23 
24  // ASSOCIATIONS
25  boost::math::poisson_distribution<tReal> *mDistribution;
26  boost::random::poisson_distribution<int,tReal> *mRandomDistribution;
27  boost::random::variate_generator<RNGType&,
28  boost::random::poisson_distribution<int,tReal> > *mGenerator;
29 
30 protected:
31  // METHODS
32 
33  // CONSTRUCTORS
34 
37 
38 
39 
40  // DESTRUCTORS
41 
42 
45  virtual ~STAT_PoissonDistribution(void);
46 
47 
48 
49 public:
50  //----------------
51  // NEW constructors
52  // ---------------
53 
56  inline static SP::STAT_PoissonDistribution New(const tReal& mean) {
57  SP::STAT_PoissonDistribution p(new STAT_PoissonDistribution(),
59  p->setProperties(mean);
60  p->setThis(p);
61  return p;
62  }
65  inline static SP::STAT_PoissonDistribution New() {
66  return New(1);
67  }
70  virtual SP::STAT_Distribution NewInstance() const {
71  return New();
72  }
73 
74 
77  virtual void copy(const STAT_Distribution& d) {
78  tReal m=d.mean();
79 
80  setProperties(m);
81  }
82  // --------------------
83  // ATTRIBUTES setting
84  // --------------------
85 
86  void setProperties(const tReal& mean);
87  void getProperties(tReal& m) {
88  m=mean();
89  }
90 
91  // -----------------------
92  // USUAL Functions
93  // ------------------------
94 
95 
98  virtual tReal pdf(const tReal& x) const;
99 
102  virtual tReal cdf(const tReal& x) const;
103 
106  virtual tReal cdfc(const tReal& x) const;
107 
110  virtual void range(tReal& xmin,tReal& xmax) const;
111 
114  virtual tReal mean() const;
115 
118  virtual tReal variance() const;
121  virtual tReal standardDeviation() const;
122 
126  virtual tReal random() const;
127 
130  virtual void computeSample(const int& n,CORE_RealArray& sample) const;
131 
132 
133 
134 
135 
136 
137 protected:
138  /* \brief return the growth rate of the distribution
139  * @param adjust: is true rescale the parameters of the distribution suach as its growth rate is rho
140  *
141  */
142  virtual tReal computeGrowthRate(const tReal& v,
143  const tBoolean& adjust,
144  const tReal& rho);
145 
146 
147 
148 
149 };
150 
151 #endif
virtual tReal computeGrowthRate()
return the growth rate of the distribution such that Esperance(E(exp(-z*X)))=0.5
Definition: STAT_Distribution.h:133
static SP::STAT_PoissonDistribution New()
create a Poisson distibution
Definition: STAT_PoissonDistribution.h:65
virtual tReal standardDeviation() const
compute the standard deviation
Definition: STAT_PoissonDistribution.cpp:71
virtual tReal mean() const =0
compute the mean
virtual tReal random() const
random return a random numbers in range
Definition: STAT_PoissonDistribution.cpp:76
#define tBoolean
Definition: types.h:48
virtual tReal cdf(const tReal &x) const
compute the cumulative distribution function at x point
Definition: STAT_PoissonDistribution.cpp:50
virtual SP::STAT_Distribution NewInstance() const
create a new instance of the distribution
Definition: STAT_PoissonDistribution.h:70
DEFINE_SPTR(STAT_PoissonDistribution)
static SP::STAT_PoissonDistribution New(const tReal &mean)
create a Poisson distibution
Definition: STAT_PoissonDistribution.h:56
virtual tReal cdfc(const tReal &x) const
compute the cumulative distribution complement function at x point
Definition: STAT_PoissonDistribution.cpp:56
virtual void computeSample(const int &n, CORE_RealArray &sample) const
compute a sample of size n
Definition: STAT_PoissonDistribution.cpp:82
this class describes an array
Definition: CORE_Array.h:18
virtual ~STAT_PoissonDistribution(void)
destroy an object.
Definition: STAT_PoissonDistribution.cpp:13
virtual tReal variance() const
compute the variance
Definition: STAT_PoissonDistribution.cpp:66
virtual void range(tReal &xmin, tReal &xmax) const
compute the range of the distribution
Definition: STAT_PoissonDistribution.cpp:37
This class is the class to describes general distribution.
Definition: STAT_Distribution.h:25
void setProperties(const tReal &mean)
Definition: STAT_PoissonDistribution.cpp:22
virtual tReal pdf(const tReal &x) const
compute the probability density function at x point
Definition: STAT_PoissonDistribution.cpp:45
virtual tReal mean() const
compute the mean
Definition: STAT_PoissonDistribution.cpp:61
STAT_PoissonDistribution()
create an object
Definition: STAT_PoissonDistribution.cpp:5
boost::mt19937 RNGType
Definition: STAT_Distribution.h:23
This class is the class to describes Poisson distribution.
Definition: STAT_PoissonDistribution.h:16
void getProperties(tReal &m)
Definition: STAT_PoissonDistribution.h:87
#define tReal
Definition: types.h:18
virtual void copy(const STAT_Distribution &d)
copy the distribution
Definition: STAT_PoissonDistribution.h:77
class Free introduced for deleting a smart pointer
Definition: CORE_Object.h:106