Hypergeometric

Generates hypergeometrically distributed random values.

Syntax

Fortran:

status = virnghypergeometric( method, stream, n, r, l, s, m )

C:

status = viRngHypergeometric( method, stream, n, r, l, s, m );

Include Files

The FORTRAN 77 interfaces are specified in the mkl_vsl.f77 include file, the Fortran 90 interfaces are specified in the mkl_vsl.f90 include file, and the C interfaces are specified in the mkl_vsl_functions.h include file.

Input Parameters

Name

Type

Description

method

FORTRAN 77: INTEGER

Fortran 90: INTEGER, INTENT(IN)

C: const int

Generation method. The specific value is as follows: VSL_RNG_METHOD_HYPERGEOMETRIC_H2PE

See brief description of the H2PE method 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

l

FORTRAN 77: INTEGER

Fortran 90: INTEGER, INTENT(IN)

C: const int

Lot size l

s

FORTRAN 77: INTEGER

Fortran 90: INTEGER, INTENT(IN)

C: const int

Size of sampling without replacement s

m

FORTRAN 77: INTEGER

Fortran 90: INTEGER, INTENT(IN)

C: const int

Number of marked elements m

Output Parameters

Name

Type

Description

r

FORTRAN 77: INTEGER

Fortran 90: INTEGER, INTENT(OUT)

C: int*

Vector of n hypergeometrically distributed random values

Description

The Hypergeometric function generates hypergeometrically distributed random values with lot size l, size of sampling s, and number of marked elements in the lot m, where l, m, sN{0}; l max(s, m).

Consider a lot of l elements comprising m "marked" and l-m "unmarked" elements. A trial sampling without replacement of exactly s elements from this lot helps to define the hypergeometric distribution, which is the probability that the group of s elements contains exactly k marked elements.

The probability distribution is given by:)


Equation

, k {max(0, s + m - l), ..., min(s, m)}

The cumulative distribution function is as follows:


Equation

Return Values

VSL_ERROR_OK, VSL_STATUS_OK

Indicates no error, execution is successful.

VSL_ERROR_NULL_PTR

stream is a NULL pointer.

VSL_RNG_ERROR_BAD_STREAM

stream is not a valid random stream.

VSL_RNG_ERROR_BAD_UPDATE

Callback function for an abstract BRNG returns an invalid number of updated entries in a buffer, that is, < 0 or > nmax.

VSL_RNG_ERROR_NO_NUMBERS

Callback function for an abstract BRNG returns 0 as the number of updated entries in a buffer.

VSL_RNG_ERROR_QRNG_PERIOD_ELAPSED

Period of the generator has been exceeded.


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