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[NP3546/20A]

by Gmcf. Gmcf
"... Note: before using this routine, please read the Users ’ Note for your implementation to check the interpretation of bold italicised terms and other implementation-dependent details. 1 Purpose G05MCF generates a vector of pseudo-random integers from the discrete negative binomial distribution with p ..."
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Note: before using this routine, please read the Users ’ Note for your implementation to check the interpretation of bold italicised terms and other implementation-dependent details. 1 Purpose G05MCF generates a vector of pseudo-random integers from the discrete negative binomial distribution

[NP3666/22]

by Gmcf. Gmcf
"... Note: before using this routine, please read the Users ’ Note for your implementation to check the interpretation of bold italicised terms and other implementation-dependent details. 1 Purpose G05MCF generates a vector of pseudorandom integers from the discrete negative binomial distribution with pa ..."
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Note: before using this routine, please read the Users ’ Note for your implementation to check the interpretation of bold italicised terms and other implementation-dependent details. 1 Purpose G05MCF generates a vector of pseudorandom integers from the discrete negative binomial distribution

Purpose

by unknown authors
"... A quasi-experimental design was used to determine whether there are differences in sociomoral reasoning, as indicated by the Sociomoral Reflection Objective Measure-Short Form (SROM-SF), between a group of students who completed a research ethics course and a comparable control group. The SROM-SF wa ..."
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.05 alpha level (p <.031). The results of this study concur with other research suggesting that ethics training that includes an interactive component (e.g., discussion g roups that accompany lecture presentations) affects sociomoral reasoning, primarily by preventing the regression in SROM

1 Purpose

by unknown authors
"... nag_rngs_init_repeatable (g05kbc) nag_rngs_init_repeatable (g05kbc) sets the initial seeds for the selected generator as used by and passed to the group of pseudorandom number functions g05k–g05q. ..."
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nag_rngs_init_repeatable (g05kbc) nag_rngs_init_repeatable (g05kbc) sets the initial seeds for the selected generator as used by and passed to the group of pseudorandom number functions g05k–g05q.

G05 – Random Number Generators g05ync 1 Purpose

by unknown authors
"... nag_quasi_init_scrambled (g05ync) initializes a scrambled quasi-random generator prior to calling nag_quasi_rand_normal (g05yjc), nag_quasi_rand_lognormal (g05ykc) or nag_quasi_rand_uniform (g05ymc). It must be preceded by a call to one of the pseudorandom initialization routines nag_rand_init_repea ..."
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nag_quasi_init_scrambled (g05ync) initializes a scrambled quasi-random generator prior to calling nag_quasi_rand_normal (g05yjc), nag_quasi_rand_lognormal (g05ykc) or nag_quasi_rand_uniform (g05ymc). It must be preceded by a call to one of the pseudorandom initialization routines nag

g05 – Random Number Generators g05phc 1 Purpose

by unknown authors
"... nag_rand_arma (g05phc) nag_rand_arma (g05phc) 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_rand_arma (g05phc). ..."
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nag_rand_arma (g05phc) nag_rand_arma (g05phc) 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_rand_arma (g05phc).

g05 – Random Number Generators g05mjc 1 Purpose

by unknown authors
"... nag_rngs_binomial (g05mjc) nag_rngs_binomial (g05mjc) generates a vector of pseudorandom integers from the discrete binomial distribution with parameters m and p. ..."
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nag_rngs_binomial (g05mjc) nag_rngs_binomial (g05mjc) generates a vector of pseudorandom integers from the discrete binomial distribution with parameters m and p.

g05 – Random Number Generators g05kjc 1 Purpose

by unknown authors
"... nag_rand_skip_ahead (g05kjc) nag_rand_skip_ahead (g05kjc) allows for the generation of multiple, independent, sequences of pseudorandom numbers using the skip-ahead method. ..."
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nag_rand_skip_ahead (g05kjc) nag_rand_skip_ahead (g05kjc) allows for the generation of multiple, independent, sequences of pseudorandom numbers using the skip-ahead method.

g05 – Random Number Generators g05sac 1 Purpose

by unknown authors
"... nag_rand_basic (g05sac) nag_rand_basic (g05sac) generates a vector of pseudorandom numbers taken from a uniform distribution between 0 and 1. ..."
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nag_rand_basic (g05sac) nag_rand_basic (g05sac) generates a vector of pseudorandom numbers taken from a uniform distribution between 0 and 1.

g05 – Random Number Generators g05yjc 1 Purpose

by unknown authors
"... nag_quasi_rand_normal (g05yjc) nag_quasi_rand_normal (g05yjc) generates a quasi-random sequence from a Normal (Gaussian) distribution. It must be preceded 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_normal (g05yjc) nag_quasi_rand_normal (g05yjc) generates a quasi-random sequence from a Normal (Gaussian) distribution. It must be preceded by a call to one of the initialization functions nag_quasi_init (g05ylc) or nag_quasi_init_scrambled (g05ync).
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