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Although it assumes explicit knowledge of the cost function of the rm, it observes the responses of the rm over time to incentives provided by the regulator, and by adapting to the rm s behaviour eventually settles on the socially optimal operating point, with zero pro ts for the monopolist It is an improvement of the average price regulation mechanism that we will brie y mention in Section 1323 In just two rounds, this mechanism achieves output ef ciency, zero monopolist pro ts and cost minimization This latter is key since it provides the incentives to the rm to operate as ef ciently as possible, without the presence of actual competition Assume that time is divided in periods, t D 1; 2; : : : , and in each period the demand and the cost are the same.

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At the end of period t, the regulator observes the current and the previous unit price or quantity sold, the expenditure of the rm in the previous period E t 1 (taken from the rm s accounting records), and infers the previous accounting pro ts t 1 D pt 1 xt 1 E t 1 As in the previous section, we suppose the regulator can also calculate the consumer surplus Knowing this, the regulator pays the monopolist a subsidy equal to the incremental change in consumer surplus between periods t 1 and t, and takes in tax the previous accounting pro t t 1 .

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the number of APIs increases, so does the vulnerability of the software and hardware. The terminal software platform must provide mechanisms to enforce security and provide guarantees regarding functional integrity, privacy, and individual rights. The Trusted Computing Group (TCG) (n.d.) is a not-for-pro t organization that aims at de ning open standards for hardware-enabled trusted computing and security technologies, including hardware building blocks and software interfaces, across multiple platforms, peripherals, and devices. Their primary goal is to help users protect their information assets (for example, data, passwords, and keys) from compromise due to external software attack and physical theft. The TCG has become the successor of the Trusted Computing Platform Alliance (TCPA) and has adopted and will extend their speci cations. The TCG has over 50 members including AMD, HP, Intel, Microsoft, Sony, and Sun Microsystems. TCG speci cations address the increasing threat of software attack due to the sophistication of attack tools, vulnerabilities discovered in existing systems (mostly due to the complexity of these systems), and the mobility of users that increases the probability of digital and physical theft. According to the CERT (CERT Coordination Center) at the Software Engineering Institute operated by Carnegie Mellon University, the number of vulnerabilities has increased from 500 in 1999 to approximately 4100 in 2002, while the number of incidents has increased from 1000 in 1999 to approximately 80,000 in 2002. The increasing threat of software attack poses a risk for data stored on devices. TCG de nes three types of theft: 1. Personal or enterprise data 2. Identity, which can be used to impersonate a user and access unauthorized data 3. Physical device.

To model the fact that the rm might not operate under minimum cost, we suppose that during period t the accounted expenses of the rm are E t D ct C wt , where ct is the actual operating cost and wt 0 is a discrepancy between the actual operating cost and the one declared through the accounting records Then the actual pro ts are t D t C wt O Let W x/ denote the social welfare when the output level is x Given all the above, the producer makes a pro t in period t of t C CSxt / CSxt 1 / t 1 D t C [W xt / t ] [W xt 1 / t 1 ] O O t 1 D t C [W xt / t C wt /] [W xt 1 / .

An analytically sensitive test always detects analytes when they are present in specimens. An analytically speci c test does not detect analytes when they are absent. The Task Force also recommended that laboratories providing a test for routine clinical use (after it had been developed) demonstrate their ability to provide analytically valid tests. These laboratories are regulated under the Clinical Laboratories Improvement Amendments of 1988 (Holtzman, 2000).

t 2(d2)

t 1 C wt 1 /] t 1 D W xt / W xt.

Using this general methodology, we create a set of benchmarks for ve of the most commonly used statistical distributions: the normal distribution, the central t, F , 2 , and gamma These tests are archived at ICPSR7 as Publication Related Archive Dataset 1243, and are also available from the Web site that accompanies this book To our knowledge, this is the rst and only set of benchmarks available for this purpose In particular, we generate a set of p-values at regular and random intervals along { [1e-12,1-1e-12],0,1 } We use Kn sel s (1989) package u to generate reference values and checked these against identical computations using Brown et al s (1998) high-precision libraries We calculate correct values for a number of central inverse distribution for those p-values (to ve signi cant digits) and the corresponding p-values for those inverse values.

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