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Governance over information technology and its processes with the business goal of adding value, while balancing risk versus return 3 0 Non-existent There is a complete lack of any recognisable IT governance process The organisation has not even recognised that there is an issue to be addressed and hence there is no communication about the issue Initial /Ad Hoc There is evidence that the organisation has recognised that IT governance issues exist and need to be addressed There are, however, no standardised processes, but instead there are ad hoc approaches applied on an individual or case-by-case basis Management s approach is chaotic and there is only sporadic, nonconsistent communication on issues and approaches to address them There may be some acknowledgement of capturing the value of IT in outcome-oriented performance of related nterprise processes There is no standard assessment process IT monitoring is only implemented reactively to an incident that has caused some loss or embarrassment to the organisation Repeatable but Intuitive There is global awareness of IT governance issues IT governance activities and performance indicators are under development, which include IT planning, delivery and monitoring processes As part of this effort, IT governance activities are formally established into the organisation s change management process, with active senior management involvement and oversight Selected IT processes are identified for improving and/or controlling core enterprise processes and are effectively planned and monitored as investments, and are derived within the context of a defined IT architectural framework Management has identified basic IT governance measurements and assessment methods and techniques, however, the process has not been adopted across the organisation There is no formal training and communication on governance standards and responsibilities are left to the individual Individuals drive the governance processes within various IT projects and processes Limited governance tools are chosen and.

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hand, the ef ciency (fom) is dramatically improved and every calculation with p 09 passes MCNP s ten statistical checks ([23], see also Section 1019) In particular, note that the tail slope estimate (k > 4) is indicating at least three nite moments for all calculations, so that use of the central limit theorem is possible, unlike the calculations in Table 101 The last line shows that even with a very poor choice of a very high transform parameter, the ail slope indicates that the variance is nite Elaborating a bit more, using the central limit theorem requires at least two nite moments Eventually, the high score tail of the density f (x) must decrease faster than 1/x 3 (slope 3), or else the second moment, x 2 f (x) dx, will not be nite Note that it is even better if the high score tail of the density f (x) decreases faster than 1/x 5 (slope 5), so that four nite moments exist When four moments exist, not only is the central limit theorem applicable, but also the sample variance is usually a good estimate of the true variance used in the central limit theorem Valid con dence intervals are thus much more likely when four moments exist A complete print (event log) of the largest scoring history for p = 06 indicates that one of the (relatively rare) high-energy 14 MeV source neutrons is responsible for the largest score At this point, one would attempt to bias the sampling of the source so that more 14 MeV neutrons were sampled, with correspondingly smaller weights One could proceed by using the weight window generator to estimate an energy-dependent weight window, then adjust the source energy bias so that the source particles are within their space-energy weight windows Space does not permit description here, but see [3] for an illustration of source energy bias and space-energy weight windows.

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