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At the other extreme, the law depends on facts that are readily known through extensive study or experience, but with which triers of fact are likely to have little familiarity A common example of specialized knowledge is that possessed by mechanics The law permits auto mechanics to testify, as long as they spent enough time studying the matter, because their knowledge is thought to be readily obtainable But recognizing that some facts can be known without the elaborate methods of science does not refute the relevance of the scienti c method; it only indicates that sometimes that level of expertise is not necessary The workings of a carburetor are no less susceptible to scienti c understanding than the workings of an atom The law merely assumes that an experienced mechanic can accurately describe the former, but only a scientist can accurately describe the latter.

In short, admissibility standards should relax but not entirely omit the requirement for a scienti c demonstration when a less rigorous, less time consuming, and less expensive alternative would provide suf ciently accurate information When the subject of expert testimony is straightforward, the law dispenses with the requirement of scienti c proof because it is excessive, not because it is unavailable..

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[This use of the beta distribution has proved popular for modeling recovery distributions (we will see that the RiskMetrics Group s CreditManager also uses it) because of its exibility it can be made to match the highly nonnormal empirical recovery distributions well] If the value of the rm s assets at the horizon is greater than the default point for that rm (ie, if AH > DPT), the model presumes that default has not occurred and the value of the facility is the weighted sum of the value of a risk-free bond and the value of a risky bond, as described earlier 3 Sum to obtain the portfolio value Once values for each of the facilities at the horizon have been obtained, the third step in generating.

Bursters try crazy projects and watch them flame out fast as the busy look on with smirks on their faces. How dumb, the busy think. But it s not always dumb, because one day those bursters could fly forward at warp speed, when one of the experiments works. Meanwhile, they ll have learned all sorts of things from their failures and made good connections in the process. Sometimes a bursty style of work, though, just shows a lack of discipline and dedicated progress. It shouldn t become an excuse for never achieving anything. The busy know that sometimes work requires long hours of stepby-step effort.

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Hunt, S., Making Competition Work in Electricity, John Wiley and Sons, Hoboken, New Jersey, 2002 Kehlhofer, R., Combined Cycle Gas and Steam Power Plants, PennWell, Tulsa, Oklahoma, 1999 Kirschen, D. S. and Strbac, G., Fundamentals of Power System Economics, John Wiley and Sons, Chichester, England, 2004 Lafont, J. J., A Theory of Incentives in Procurement and Regulation, MIT Press, Cambridge, Massachusetts, 1993 Lillington, J. N., The Future of Nuclear Power, Elsevier, Amsterdam, 2004 McLeish, D. L., Monte Carlo Simulation and Finance, John Wiley and Sons, Hoboken, New Jersey, 2005 McNamara, W., The California Energy Crisis: Lessons for a Deregulating Industry, PennWell, Tulsa, Oklahoma, 2002 Meier, A., Electric Power Systems: a Conceptual Introduction, WileyInterscience, Hoboken, New Jersey, 2006 Miller, B. G., Coal Energy Systems, Elsevier Academic Press, San Diego, California, 2005 Newbery, D. M. G., Privatization, Restructuring and Regulation of Network Utilities, MIT Press, Cambridge, Massachusetts, 1999 Ratiu, T. S. and Marsden J. E., Introduction to Mechanics and Symmetry, 2nd edition, Springer, New York, 1999 Rau, N. S., Optimization Principles: Practical Applications to the Operation and Markets of the Electric Power Industry, Wiley-Interscience, Hoboken, New Jersey, 2003 Ross, S., A First Course in Probability, 6th edition, Prentice-Hall, Upper Saddle River, New Jersey, 2002

_ Time Derivative of @rENU =@vENU In this case (Eq. C.153), s1 r jrj sin jrj ; 2 1 cos jrj C:174 C:175 C:176 C:177 C:178 C:179

5:9 5:10

equipment. These include the mainframes, desktops, terminals, peripherals, and their operating systems. The platform architecture contains the resource policy for this equipment and sets standards with respect to scalability, availability (contingency plans), and compatibility.

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