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INTEGER
"... Note: before using this routine, please read the Users ’ Note for your implementation to check the interpretation of bold italicised terms and other implementationdependent details. 1 Purpose G05REF generates pseudorandom uniform bivariates with joint distribution of a Clayton/Cook–Johnson Archimed ..."
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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 implementationdependent details. 1 Purpose G05REF generates pseudorandom uniform bivariates with joint distribution of a Clayton
Purpose
"... A quasiexperimental design was used to determine whether there are differences in sociomoral reasoning, as indicated by the Sociomoral Reflection Objective MeasureShort Form (SROMSF), between a group of students who completed a research ethics course and a comparable control group. The SROMSF 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
Multiplexed protein quantitation in Saccharomyces cerevisiae using aminereactive isobaric tagging reagents,”
 Molecular and Cellular Proteomics,
, 2004
"... We describe here a multiplexed protein quantitation strategy that provides relative and absolute measurements of proteins in complex mixtures. At the core of this methodology is a multiplexed set of isobaric reagents that yield aminederivatized peptides. The derivatized peptides are indistinguisha ..."
Abstract

Cited by 248 (1 self)
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difference labeling. The massdifference concept for many practical purposes is limited to a binary (2plex) set of reagents, and this makes comparison of multiple states (e.g. several experimental controls or timecourse studies) difficult to undertake. Multiple 2plex datasets can be combined after separate
1 Purpose
"... 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 g05edc 1 Purpose
"... 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 g05eac 1 Purpose
"... 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 variancecovariance matrix C, so that nag_ref_vec_multi_normal (g05eac) may be used to generate pseudorandom 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 variancecovariance matrix C, so that nag_ref_vec_multi_normal (g05eac) may be used to generate pseudorandom vectors.
G05 – Random Number Generators g05ync 1 Purpose
"... nag_quasi_init_scrambled (g05ync) initializes a scrambled quasirandom 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 quasirandom 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
"... 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
"... 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
"... nag_rand_skip_ahead (g05kjc) nag_rand_skip_ahead (g05kjc) allows for the generation of multiple, independent, sequences of pseudorandom numbers using the skipahead 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 skipahead method.
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