Results 11 - 20 of 1,541

g05 – Random Number Generators g05ymc 1 Purpose

by Csðlog Nþ S S
"... nag_quasi_rand_uniform (g05ymc) nag_quasi_rand_uniform (g05ymc) generates a uniformly distributed low-discrepancy sequence as proposed by Sobol, Faure or Niederreiter. It must be preceded by a call to one of the initialization routines nag_quasi_init (g05ylc) or nag_quasi_init_scrambled (g05ync). ..."
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nag_quasi_rand_uniform (g05ymc) nag_quasi_rand_uniform (g05ymc) generates a uniformly distributed low-discrepancy sequence as proposed by Sobol, Faure or Niederreiter. It must be preceded by a call to one of the initialization routines nag_quasi_init (g05ylc) or nag_quasi_init_scrambled (g05ync).

g05 – Random Number Generators g05ykc 1 Purpose

by unknown authors
"... nag_quasi_rand_lognormal (g05ykc) nag_quasi_rand_lognormal (g05ykc) generates a quasi-random sequence from a log-normal distribution. It must be preceeded by a call to one of the initialization functions nag_quasi_init (g05ylc) or nag_quasi_init_scrambled (g05ync). ..."
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nag_quasi_rand_lognormal (g05ykc) nag_quasi_rand_lognormal (g05ykc) generates a quasi-random sequence from a log-normal distribution. It must be preceeded by a call to one of the initialization functions nag_quasi_init (g05ylc) or nag_quasi_init_scrambled (g05ync).

g05 – Random Number Generators g05mcc 1 Purpose

by unknown authors
"... nag_rngs_neg_bin (g05mcc) nag_rngs_neg_bin (g05mcc) generates a vector of pseudorandom integers from the discrete negative binomial distribution with parameter m and probability p of success at a trial. ..."
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nag_rngs_neg_bin (g05mcc) nag_rngs_neg_bin (g05mcc) generates a vector of pseudorandom integers from the discrete negative binomial distribution with parameter m and probability p of success at a trial.

g05 – Random Number Generators g05mlc 1 Purpose

by unknown authors
"... nag_rngs_hypergeometric (g05mlc) nag_rngs_hypergeometric (g05mlc) generates a vector of pseudorandom integers from the discrete hypergeometric distribution of the number of specified items in a sample of size l, taken from a population of size n with m specified items in it. ..."
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nag_rngs_hypergeometric (g05mlc) nag_rngs_hypergeometric (g05mlc) generates a vector of pseudorandom integers from the discrete hypergeometric distribution of the number of specified items in a sample of size l, taken from a population of size n with m specified items in it.

g05 – Random Number Generators g05rbc 1 Purpose

by unknown authors
"... nag_rngs_copula_students_t (g05rbc) nag_rngs_copula_students_t (g05rbc) sets up a reference vector and generates an array of pseudorandom numbers from a Student’s t copula with degrees of freedom and covariance matrix 2 C. ..."
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nag_rngs_copula_students_t (g05rbc) nag_rngs_copula_students_t (g05rbc) sets up a reference vector and generates an array of pseudorandom numbers from a Student’s t copula with degrees of freedom and covariance matrix 2 C.

g05 – Random Number Generators g05mzc 1 Purpose

by unknown authors
"... nag_rngs_gen_discrete (g05mzc) nag_rngs_gen_discrete (g05mzc) generates a vector of pseudorandom integers from a discrete distribution with a given PDF (probability density function) or CDF (cumulative distribution function) p. ..."
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nag_rngs_gen_discrete (g05mzc) nag_rngs_gen_discrete (g05mzc) generates a vector of pseudorandom integers from a discrete distribution with a given PDF (probability density function) or CDF (cumulative distribution function) p.

g05 – Random Number Generators g05edc 1 Purpose

by unknown authors
"... nag_ref_vec_binomial (g05edc) nag_ref_vec_binomial (g05edc) sets up the reference vector r for a binomial distribution of the number of successes in n trials, each with probability of success p. ..."
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nag_ref_vec_binomial (g05edc) nag_ref_vec_binomial (g05edc) sets up the reference vector r for a binomial distribution of the number of successes in n trials, each with probability of success p.

g05 – Random Number Generators g05rcc 1 Purpose

by unknown authors
"... nag_rand_copula_students_t (g05rcc) nag_rand_copula_students_t (g05rcc) sets up a reference vector and generates an array of pseudorandom numbers from a Student’s t copula with degrees of freedom and covariance matrix 2 C. ..."
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nag_rand_copula_students_t (g05rcc) nag_rand_copula_students_t (g05rcc) sets up a reference vector and generates an array of pseudorandom numbers from a Student’s t copula with degrees of freedom and covariance matrix 2 C.

g05 – Random Number Generators g05pac 1 Purpose

by unknown authors
"... nag_rngs_arma_time_series (g05pac) nag_rngs_arma_time_series (g05pac) generates a realization of a univariate time series from an autoregressive moving average (ARMA) model. The realization may be continued or a new realization generated at subsequent calls to nag_rngs_arma_time_series (g05pac). ..."
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nag_rngs_arma_time_series (g05pac) nag_rngs_arma_time_series (g05pac) generates a realization of a univariate time series from an autoregressive moving average (ARMA) model. The realization may be continued or a new realization generated at subsequent calls to nag_rngs_arma_time_series (g05pac).

g05 ± Random Number Generators g05eac 1 Purpose

by Nag C Library, Function Document, Double Eps
"... nag_ref_vec_multi_normal (g05eac) nag_ref_vec_multi_normal (g05eac) sets up a reference vector for a multivariate Normal distribution with mean vector a and variance-covariance matrix C, so that nag_ref_vec_multi_normal (g05eac) may be used to generate pseudo-random vectors. ..."
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nag_ref_vec_multi_normal (g05eac) nag_ref_vec_multi_normal (g05eac) sets up a reference vector for a multivariate Normal distribution with mean vector a and variance-covariance matrix C, so that nag_ref_vec_multi_normal (g05eac) may be used to generate pseudo-random vectors.
Results 11 - 20 of 1,541