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Rather than disregard the normal distribution in all applications, we will give it the bene t of the doubt and let the numbers tell us if an approximation is good. A test of the goodness of t is usually made for discrete pdf s like the binomial and Poisson by preparing a table of observed (Obs) and tted (Fit) values with say j = 1, 2, . . . , k rows. The Pearson goodness of t statistic is simply

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4.9 Traf c shaping It is a characteristic of broadband multimedia and data traf c that its rate can uctuate widely. These uctuations can occur at various superimposed frequencies, as illustrated in the right hand part of Figure 4.6. Each frequency of uctuation de nes a timescale of burstiness, i.e. an order of time over which signi cant changes are observed in the rate of the source, when this is averaged over time periods of the same size. In Figure 4.6, such changes in the rate are observed on timescales of order t1 and t2 (and there may be even larger timescales, but these do not show up in the small snapshot taken). Suppose we are at an operating point, where a CLP guarantee is just satis ed and no more traf c can be packed in the link. We can ask, on what timescales are uctuations most likely to cause buffer over ow In other words, which aspects of the traf c make it hard to multiplex it and hence contribute to its effective bandwidth Similar questions were posed in Section 4.4 when we determined effective bandwidths for the boxes that were to be packed in an elevator. For a constraint on the technology set that is de ned in terms of a constraint on CLP, the effective bandwidth of a source depends on the timescales of the source s burstiness that signi cantly contribute to the event of buffer over ow. Clearly, uctuations on different timescales do not contribute equally, since those on short timescales may be absorbed by the buffer. This effect is captured in the de nition of the effective bandwidth in (4.5). By

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The results of neuropsychological evaluation indicate that David currently is functioning within the low-average to average range of intellectual ability as measured by the Wechsler Intelligence Scale for Children, Fourth Edition; however, analysis of the Index scores indicates that there is a signi cant discrepancy between his average Verbal Comprehension Index and his borderline to low-average Perceptual Reasoning Index. Thus, it is recommended that David s Verbal Comprehension Index score be used as his best estimate of intellectual potential. This is further supported by David s average performance on the Working Memory and Processing Speed Indices of the WISC-IV (see Table 9.3). Additional assessment indicates that David is demonstrating variable performance on measures of higher-order executive functions with average sequential reasoning and problem-solving capability noted on the Tower subtest of the NEPSY contrasted by lowaverage performance on the Wisconsin Card Sorting Test. David s performance on measures of expressive and receptive language domains are generally low-average to average range with a relative weakness noted on a measure of phonological processing/awareness. Visual-spatial perception and visual-motor integration are borderline to low average with poor motor planning noted. Fine motor tapping speed is above average bilaterally. Analysis of David s performance on the Children s Memory Scale indicates that, at the present time, he is exhibiting signi cant variability in his ability to hold material in immediate auditory working memory in conjunction with borderline ability to hold spatial location in working memory. When asked to learn and remember newly

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Numerical Issues in Statistical Computing for the Social Scientist, by Micah Altman, Jeff Gill, and Michael P. McDonald ISBN 0-471-23633-0 Copyright c 2004 John Wiley & Sons, Inc.

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