naginterfaces.library.rand.int_negbin¶
- naginterfaces.library.rand.int_negbin(mode, n, m, p, statecomm, comm=None)[source]¶
int_negbin
generates a vector of pseudorandom integers from the discrete negative binomial distribution with parameter and probability of success at a trial.For full information please refer to the NAG Library document for g05th
https://support.nag.com/numeric/nl/nagdoc_30.2/flhtml/g05/g05thf.html
- Parameters
- modeint
A code for selecting the operation to be performed by the function.
Set up reference vector only.
Generate variates using reference vector set up in a prior call to
int_negbin
.Set up reference vector and generate variates.
Generate variates without using the reference vector.
- nint
, the number of pseudorandom numbers to be generated.
- mint
, the number of failures of the distribution.
- pfloat
, the parameter of the negative binomial distribution representing the probability of success at a single trial.
- statecommdict, RNG communication object, modified in place
RNG communication structure.
This argument must have been initialized by a prior call to
init_repeat()
orinit_nonrepeat()
.- commNone or dict, communication object, optional, modified in place
Communication structure for the reference vector.
If , this argument must have been initialized by a prior call to
int_negbin
.If , is not referenced and may be None.
- Returns
- xNone or int, ndarray, shape
The pseudorandom numbers from the specified negative binomial distribution.
- Raises
- NagValueError
- (errno )
On entry, .
Constraint: , , or .
- (errno )
On entry, .
Constraint: .
- (errno )
On entry, .
Constraint: .
- (errno )
On entry, .
Constraint: .
- (errno )
or is not the same as when [‘r’] was set up in a previous call.
Previous value of and .
Previous value of and .
- (errno )
On entry, some of the elements of the array [‘r’] have been corrupted or have not been initialized.
- (errno )
On entry, [‘state’] vector has been corrupted or not initialized.
- Notes
int_negbin
generates integers from a discrete negative binomial distribution, where the probability of ( successes before failures) isThe variates can be generated with or without using a search table and index. If a search table is used then it is stored with the index in a reference vector and subsequent calls to
int_negbin
with the same parameter value can then use this reference vector to generate further variates.One of the initialization functions
init_repeat()
(for a repeatable sequence if computed sequentially) orinit_nonrepeat()
(for a non-repeatable sequence) must be called prior to the first call toint_negbin
.
- References
Knuth, D E, 1981, The Art of Computer Programming (Volume 2), (2nd Edition), Addison–Wesley