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107:: these can be obtained from standard normal deviates (themselves the output of a pseudorandom number sequence) by multiplying by the scale parameter and adding the location parameter. More generally, the generation of pseudorandom number sequence having other
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Given a model for a set of observed data, a set of manipulations of the data can result in a derived quantity which, assuming that the model is a true representation of reality, is a standard normal deviate (perhaps in an approximate sense). This enables a
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When the term "deviate" is used, rather than "variable", there is a connotation that the value concerned is treated as the no-longer-random outcome of a standard normal random variable. The terminology here is the same as that for
115:, random values of which can be obtained by adding the squares of standard normal deviates (although this would seldom be the fastest method of generating such values).
50: 1. Where collections of such random variables are used, there is often an associated (possibly unstated) assumption that members of such collections are
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Standard normal variables play a major role in theoretical statistics in the description of many types of models, particularly in
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Dodge, Y. (2003) The Oxford
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81:. Standard normal deviates arise in practical
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