rndNegBinomial#

Purpose#

Computes negative binomial pseudo-random numbers with a choice of underlying random number generator.

Format#

x = rndNegBinomial(r, c, ns, prob)#
{ x, newstate } = rndNegBinomial(r, c, ns, prob, state)
Parameters:

  • r (scalar) – number of rows of resulting matrix.

  • c (scalar) – number of columns of resulting matrix.

  • ns (matrix, vector or scalar) – “event” argument for negative binomial distribution, scalar or ExE conformable matrix with r and c.

  • prob (matrix, vector or scalar) – “probability” argument for negative binomial distribution, scalar or ExE conformable matrix with r and c.

  • state (scalar or opaque vector) –

    Optional argument.

    scalar case

    state = starting seed value only. If -1, GAUSS computes the starting seed based on the system clock.

    opaque vector case

    state = the state vector returned from a previous call to one of the rnd random number functions.

Returns:

  • x (RxC matrix) – negative binomial distributed random numbers.

  • newstate (Opaque vector) – the updated state.

Examples#

Example 1#

Simulate the number of failures before 30 successes where each trial has a 70% probability of success.

num_obs = 100;

num_s = 30;
prob = 0.70;

num_f = rndNegBinomial(num_obs, 1, num_s, prob);

Example 2#

An alternative parameterization specifies the negative binomial distribution in terms of a dispersion parameter (dp) and a mean parameter (mu). If you would prefer to think of it in those terms, you may do so by passing in the dispersion parameter dp, in place of num_s and passing in \(dp/(dp + mu)\) in place of prob.

// dispersion parameter
dp = 12;

// mean parameter
mu = 3;

x = rndNegBinomial(100, 1, dp, dp./(dp + mu));

Remarks#

The properties of the pseudo-random numbers in x are:

\[ \begin{align}\begin{aligned}\begin{split}E(x) = num\_s*\frac{1 - prob}{prob}\\\end{split}\\\begin{split}Var(x) = num\_s*\frac{1 - prob}{prob^2}\\\end{split}\\\begin{split}num\_s > 0\\\end{split}\\0 < prob < 1\end{aligned}\end{align} \]

rndNegBinomial() has a different parameterization than the deprecated rndnb(). To convert a call to rndnb() to an equivalent call to rndNegBinomial(), pass in \(1 - prob\) in place of prob. For example, the following two calls are equivalent.

x_1 = rndnb(1e6, 1, 15, 0.3);
x_2 = rndNegBinomial(1e6, 1, 15, 0.7);

r and c will be truncated to integers if necessary.

Technical Notes#

The default generator for rndNegBinomial() is the SFMT Mersenne-Twister 19937. You can specify a different underlying random number generator with the function rndCreateState().

See also

Functions rndCreateState(), rndStateSkip()

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