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For example, an access control list entry for each target object would track the list of principals who have been authorized In addition, control attributes can also track security information on the target object itself For example, a target object might have a security classi cation (eg, secret, classi ed, etc), or may be limited in access to certain time periods Finally, note that the rights of a target object are the set of operations that are available for assignment to each principal For example, this may be the right to invoke a method, modify a portion of the target object, and so on.

(1999) score test to the case of complex longitudinal survey data and show that it is equivalent to an extension of the Graubard et al (1997) Wald test to the longitudinal case We also develop suitable corrections to a weighted version of the Hosmer and Lemeshow goodness-of-fit statistic that account for the survey design, following Rao and Scott (1981) and Roberts et al (1987) We use design-based bootstrap methods in developing the above goodness-of-fit tests Finally, in Section 205, we illustrate the proposed method for inference on model parameters and global goodness-of-fit of the marginal mean model, using longitudinal data from Statistics Canada s National Population Health Survey (NPHS).

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De ning privileges for principals and target objects, while not a dif cult process, can be time consuming and complex, when one considers, for even a moderate sized organization, the number of principals, and more importantly, the tens or hundreds of thousands (or more) of target objects for which security must be de ned To assist in this process, the idea of a domain can be leveraged, which provides a context to de ne common characteristics and capabilities related to security We focus on the security policy domain that represents the scope over which each security policy is enforced, assuming that an organization may have multiple policies A security policy domain permits the de nition of security requirements for a group of target objects, allowing this group to be managed as a whole, thereby reducing the needed administrative effort.

We should emphasize that our major contribution in this chapter is to apply designbased bootstrap methods for making design-based inferences under marginal mean models and for testing the goodness-of-fit of marginal mean specification when the data are longitudinal and obtained from a complex survey design..

To address the structural aspects of an organization in the security de nition process, policy domain hierarchies can be employed A policy domain hierarchy allows a security administrator to design a hierarchy of policy domains, and then delegate subsets of the hierarchy (subdomain) to different individuals For example, in a health care organization, they could be subdomains for patient objects, test-result objects, employee objects, and so on, and the security for these subdomains could be delegated to different people in hospital administration/IT This separation into subdomains allows both access control and auditing to also be administered at these levels, doling out the responsibility for these tasks There are also other abstraction.

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A composite is used by investment managers to consolidate all of the portfolios that they manage into a single return stream for marketing purposes. As highlighted in the preceding AIMR PPS section, there are rules with regard to how a manager can construct these composites. However, there is still plenty of room for ambiguity. As an investment manager analyst, it is incumbent upon you not only to understand how an investment manager has constructed their composite, but to look into the statistics to see if any abnormalities exist. While AIMR does not require a speci c format in which managers are to report their composite information, investment rms have largely adopted their strongly worded suggestions. Exhibit 4.22 displays the composite performance disclosures for CAM Asset Management. We have already examined the performance for the CAM small-cap value product, but the information regarding the composite is very helpful in evaluating and understanding the product s performance. The standard deviation gure, a common measure of portfolio risk, will be discussed in detail in the next chapter.

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