Generates beta distributed random values.
FORTRAN:
status = vsrngbeta( method, stream, n, r, p, q, a, beta )
status = vdrngbeta( method, stream, n, r, p, q, a, beta )
C:
status = vsRngBeta( method, stream, n, r, p, q, a, beta );
status = vdRngBeta( method, stream, n, r, p, q, a, beta );
Name |
Type |
Description |
---|---|---|
method |
FORTRAN 77: INTEGER Fortran 90: INTEGER, INTENT(IN) C: const int |
Generation method. The specific values are as follows: See brief description of the method CJA in Table "Values of <method> in method parameter" |
stream |
FORTRAN 77: INTEGER*4 stream(2) Fortran 90: TYPE (VSL_STREAM_STATE), INTENT(IN) C: VSLStreamStatePtr |
Fortran: Descriptor of the stream state structure C: Pointer to the stream state structure |
n |
FORTRAN 77: INTEGER Fortran 90: INTEGER, INTENT(IN) C: const int |
Number of random values to be generated |
p |
FORTRAN 77: REAL for vsrngbeta DOUBLE PRECISION for vdrngbeta Fortran 90: REAL(KIND=4), INTENT(IN) for vsrngbeta REAL(KIND=8), INTENT(IN) for vdrngbeta C: const float for vsRngBeta const double for vdRngBeta |
Shape p |
q |
FORTRAN 77: REAL for vsrngbeta DOUBLE PRECISION for vdrngbeta Fortran 90: REAL(KIND=4), INTENT(IN) for vsrngbeta REAL(KIND=8), INTENT(IN) for vdrngbeta C: const float for vsRngBeta const double for vdRngBeta |
Shape q |
a |
FORTRAN 77: REAL for vsrngbeta DOUBLE PRECISION for vdrngbeta Fortran 90: REAL(KIND=4), INTENT(IN) for vsrngbeta REAL(KIND=8), INTENT(IN) for vdrngbeta C: const float for vsRngBeta const double for vdRngBeta |
Displacement a. |
beta |
FORTRAN 77: REAL for vsrngbeta DOUBLE PRECISION for vdrngbeta Fortran 90: REAL(KIND=4), INTENT(IN) for vsrngbeta REAL(KIND=8), INTENT(IN) for vdrngbeta C: const float for vsRngBeta const double for vdRngBeta |
Scalefactor β. |
Name |
Type |
Description |
---|---|---|
r |
FORTRAN 77: REAL for vsrngbeta DOUBLE PRECISION for vdrngbeta Fortran 90: REAL(KIND=4), INTENT(OUT) for vsrngbeta REAL(KIND=8), INTENT(OUT) for vdrngbeta C: float* for vsRngBeta double* for vdRngBeta |
Vector of n random numbers with beta distribution |
The vRngBeta function generates random numbers with beta distribution that has shape parameters p and q, displacement a, and scale parameter β, where p, q, a, and β∈R ; p > 0, q > 0, β > 0.
The probability density function is given by:
where B(p, q) is the complete beta function.
The cumulative distribution function is as follows:
Indicates no error, execution is successful.
stream is a NULL pointer.
stream is not a valid random stream.
Callback function for an abstract BRNG returns an invalid number of updated entries in a buffer, that is, < 0 or > nmax.
Callback function for an abstract BRNG returns 0 as the number of updated entries in a buffer.
Period of the generator has been exceeded.