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Token distribution functions

Example of host system and dedicated support system is a power distribution network monitored and controlled by a dedicated SCADA on the other hand, a power distribution network and a monitoring and controlling communication infrastructure, e.g. the pubhc IP network, are examples of two comparable systems. By the same token, the functionality of the power distribution network... [Pg.2063]

Frequency Distribution. The word distribution table provides not only the distribution of word tokens among the various texts but also the total frequency of each word type. The total number of types or tokens having a given frequency can be determined by simply counting types in the distribution table or summing the total number of tokens with that frequency. The functions which present the number of types or tokens of a given frequency are called, respectively, the type and token distribution fvnations. [Pg.46]

In practical terms, the type and token cumulative frequency distributions may be tested for log-normality by plotting these functions on normal probability paper with the logarithm of frequency as the abscissa. When this test was applied to the medical use type and token frequency distributions, the log-normal model was found to describe both distributions very well over two orders of magnitude. Figure 1 shows this relationship for the use type distribution and also for the cluster type distribution. The cluster types involve a different counting than use types, so that two clusters are the same if all their components are Identical. The total number of cluster types is simply the sum of the last column in Table II. [Pg.48]


See other pages where Token distribution functions is mentioned: [Pg.181]    [Pg.6]    [Pg.89]    [Pg.48]    [Pg.253]    [Pg.32]    [Pg.395]    [Pg.172]    [Pg.358]    [Pg.2203]    [Pg.105]    [Pg.119]    [Pg.2125]   
See also in sourсe #XX -- [ Pg.46 ]




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