public class DenseDiscPhaseVar extends AbstractDiscPhaseVar implements DiscPhaseVar
| Constructor and Description |
|---|
DenseDiscPhaseVar()
Constructs an empty Discrete Phase-type Distribution with dense
representation
|
DenseDiscPhaseVar(no.uib.cipr.matrix.DenseVector alpha,
no.uib.cipr.matrix.DenseMatrix A)
Constructs a Discrete Phase-type Distribution with dense
representation
|
DenseDiscPhaseVar(double[] alpha,
double[][] A)
Constructs a Discrete Phase-type Distribution with dense
representation
|
DenseDiscPhaseVar(int n)
Constructs an empty Discrete Phase-type Distribution of size n
with dense representation
|
DenseDiscPhaseVar(no.uib.cipr.matrix.Vector alpha,
no.uib.cipr.matrix.Matrix A)
Constructs a Discrete Phase-type Distribution with dense
representation
|
| Modifier and Type | Method and Description |
|---|---|
DiscPhaseVar |
copy()
Creates a deep copy of the original Phase-Type Variable
|
static DenseDiscPhaseVar |
Geom(double p)
Discrete Phase distribution that represents a geometric
distribution with probability of success p
|
no.uib.cipr.matrix.Matrix |
getMatrix()
Returns the transition matrix of the Phase-Type Distribution
|
no.uib.cipr.matrix.Vector |
getVector()
Returns the initial probability mass vector
|
static DenseDiscPhaseVar |
NegativeBinomial(double p,
int r)
Discrete Phase Distribution that represents a Negative
Binomial distribution with parameters p and r
|
DiscPhaseVar |
newVar(int n)
Creates a new variable of the same class of the original
Discrete Phase-Type Variable
|
void |
setMatrix(no.uib.cipr.matrix.Matrix A)
Sets the transition matrix of the Phase-type distribution to be A
|
void |
setVector(no.uib.cipr.matrix.Vector alpha)
Sets the initial probability vector to be alpha
|
cdf, cdf, CV, description, expectedValue, getMat0, getMat0Array, getMatrixArray, getNumPhases, getVec0, getVectorArray, label, lossFunction1, lossFunction2, max, max, median, min, min, mix, mix, moment, pmf, pmf, prob, quantil, stdDeviation, sum, sum, sumGeom, sumPH, sumPH, survival, survival, toString, varianceequals, getClass, hashCode, notify, notifyAll, wait, wait, waitmax, max, min, min, mix, mix, pmf, pmf, sum, sum, sumGeom, sumPH, sumPH, toStringcdf, cdf, CV, expectedValue, getMat0, getMat0Array, getMatrixArray, getNumPhases, getVec0, getVectorArray, lossFunction1, lossFunction2, median, moment, prob, quantil, stdDeviation, survival, survival, variancedescription, equals, labelpublic DenseDiscPhaseVar()
public DenseDiscPhaseVar(int n)
n - size of the Discrete Phase-type Distributionpublic DenseDiscPhaseVar(no.uib.cipr.matrix.DenseVector alpha,
no.uib.cipr.matrix.DenseMatrix A)
A - transition probability matrixalpha - initial probability distribution vectorpublic DenseDiscPhaseVar(no.uib.cipr.matrix.Vector alpha,
no.uib.cipr.matrix.Matrix A)
A - transition probability matrixalpha - initial probability distribution vectorpublic DenseDiscPhaseVar(double[] alpha,
double[][] A)
A - transition probability matrixalpha - initial probability distribution vectorpublic static DenseDiscPhaseVar Geom(double p)
p - probability of successpublic static DenseDiscPhaseVar NegativeBinomial(double p, int r)
p - probability of success in one trialr - number of successes until absorptionpublic no.uib.cipr.matrix.Matrix getMatrix()
PhaseVargetMatrix in interface PhaseVarPhaseVar.getMatrix()public no.uib.cipr.matrix.Vector getVector()
PhaseVargetVector in interface PhaseVarPhaseVar.getVector()public void setMatrix(no.uib.cipr.matrix.Matrix A)
PhaseVarsetMatrix in interface PhaseVarA - Transition matrix for the transient states of the
Phase-Type DistributionPhaseVar.setMatrix(no.uib.cipr.matrix.Matrix)public void setVector(no.uib.cipr.matrix.Vector alpha)
PhaseVarsetVector in interface PhaseVaralpha - Initial probability mass vectorPhaseVar.setVector(no.uib.cipr.matrix.Vector)public DiscPhaseVar copy()
DiscPhaseVarcopy in interface DiscPhaseVarcopy in interface PhaseVarContPhaseVar.copy()public DiscPhaseVar newVar(int n)
DiscPhaseVarnewVar in interface DiscPhaseVarn - number of Phases of the new Variable