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Parallel Monte Carlo and Machine Learning Library
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pm_distGeomCyclic.F90 File Reference

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Data Types

type  pm_distGeomCyclic::distGeomCyclic_type
 This is the derived type for signifying distributions that are of type Cyclic Geometric as defined in the description of pm_distGeomCyclic. More...
 
interface  pm_distGeomCyclic::getGeomCyclicLogPMF
 Generate and return the natural logarithm of the Probability Mass Function (PMF) of the Cyclic Geometric distribution for an input stepSuccess within the discrete integer support of the distribution [0, \ms{period}]. More...
 
interface  pm_distGeomCyclic::setGeomCyclicLogPMF
 Return the natural logarithm of the Probability Mass Function (PMF) of the Cyclic Geometric distribution for an input stepSuccess within the discrete integer support of the distribution [0, period]. More...
 
interface  pm_distGeomCyclic::getGeomCyclicLogCDF
 Generate and return the natural logarithm of the Cumulative Distribution Function (CDF) of the Cyclic Geometric distribution for an input stepSuccess within the discrete integer support of the distribution [0, period]. More...
 
interface  pm_distGeomCyclic::setGeomCyclicLogCDF
 Return the natural logarithm of the Cumulative Distribution Function (CDF) of the Cyclic Geometric distribution for an input stepSuccess within the discrete integer support of the distribution [0, period]. More...
 
interface  pm_distGeomCyclic::getGeomCyclicRand
 Generate and return a scalar (or array of arbitrary rank of) random value(s) from the Cyclic Geometric distribution.
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interface  pm_distGeomCyclic::setGeomCyclicRand
 Return a scalar (or array of arbitrary rank of) random value(s) from the Cyclic Geometric distribution.
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interface  pm_distGeomCyclic::isFailedGeomCyclicFit
 Generate and return .true. if the parameters of a least-squares fit to the histogram representing a Cyclic-Geometric-distributed sample can be successfully inferred, otherwise, return .false..
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Modules

module  pm_distGeomCyclic
 This module contains classes and procedures for computing various statistical quantities related to the Cyclic Geometric distribution.
 

Variables

character(*, SK), parameter pm_distGeomCyclic::MODULE_NAME = "@pm_distGeomCyclic"