DistributionCategory R¶
distro.spad line 595 [edit on github]
Category of distributions formally given by moments.
- 0: %
0
is the Dirac distribution
- ^: (%, PositiveInteger) -> %
x^k
constructs the distribution of thek
th power of the random variable with distributionX
by picking everyk
-th moment.
- booleanConvolution: (%, %) -> %
booleanConvolution(x, y)
returns the boolean convolution of the distributionsx
andy
- booleanCumulant: (%, PositiveInteger) -> R
booleanCumulant(x, n)
returns then
-th boolean cumulant of the distributionx
- booleanCumulants: % -> Sequence R
booleanCumulants(x)
returns the sequence of boolean cumulants of the distributionx
.
- classicalConvolution: (%, %) -> %
classicalConvolution(x, y)
returns the classical convolution of the distributionsx
andy
- classicalCumulant: (%, PositiveInteger) -> R
classicalCumulant(x, n)
returns then
-th classical cumulant of the distributionx
- classicalCumulants: % -> Sequence R
classicalCumulants(x)
returns sequence of classical cumulants of the distributionx
- coerce: % -> OutputForm
from CoercibleTo OutputForm
- freeConvolution: (%, %) -> %
freeConvolution(x, y)
returns the free convolution of the distributionsx
andy
- freeCumulant: (%, PositiveInteger) -> R
freeCumulant(x, n)
returns then
-th free cumulant of the distributionx
- freeCumulants: % -> Sequence R
freeCumulants(x)
returns the sequence of free cumulants of the distributionx
.
- hankelDeterminants: % -> Stream R
hankelDeterminants(x)
returns the stream of hankel determinants of the distributionx
.
- jacobiParameters: % -> Record(an: Stream Fraction R, bn: Stream Fraction R) if R has IntegralDomain and R hasn’t Field
jacobiParameters(x)
returns the pair of streams of Jacobi parameters of the distributionx
.
- jacobiParameters: % -> Record(an: Stream R, bn: Stream R) if R has Field
jacobiParameters(x)
returns the pair of streams of Jacobi parameters of the distributionx
.
- latex: % -> String
from SetCategory
- moment: (%, NonNegativeInteger) -> R
moment(x, n)
returns then
-th moment of the distributionx
- moments: % -> Sequence R
moments(x)
returns the sequence of moments of the distributionx
- monotoneConvolution: (%, %) -> %
monotoneConvolution(x, y)
returns the monotone convolution of the distributionsx
andy
- monotoneCumulants: % -> Sequence R if R has Algebra Fraction Integer
monotoneCumulants(x)
returns the sequence of monotone cumulants of the distributionx
.
- orthogonalConvolution: (%, %) -> %
orthogonalConvolution(x, y)
returns the orthogonal convolution of the distributionsx
andy
- orthogonalPolynomials: % -> Stream SparseUnivariatePolynomial Fraction R if R has IntegralDomain and R hasn’t Field
orthogonalPolynomials(x)
returns the stream of orthogonal polynomials.
- orthogonalPolynomials: % -> Stream SparseUnivariatePolynomial R if R has Field
orthogonalPolynomials(x)
returns the stream of orthogonal polynomials.
- subordinationConvolution: (%, %) -> %
subordinationConvolution(x, y)
returns the subordination convolution of the distributionsx
andy