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The horizontal axis measures company X s asset value (actually the logarithm of asset value) and the vertical axis measures company Y s asset value. Note that the default point for company X is indicated on the horizontal axis and the default point for company Y is indicated on the vertical axis. The concentric ovals are equal probability lines. Every point on a given oval represents the same probability, and the inner ovals indicate higher probability. If the asset value for company X were uncorrelated with the asset value for company Y, the equal probability line would be a circle. If the asset values were perfectly correlated, the equal probability line would be a straight line. The ovals indicate that the asset values for companies X and Y are positively correlated, but less than perfectly correlated. The probability that company X s asset value is less than DPTX is EDFX; and the probability that company Y s asset value is less than DPTY is EDFY. The joint probability that company X s asset value is less than DPTX and company Y s asset value is less than DPTX is J. Finally, the probability that company X s asset value exceeds DPTX and company Y s asset value exceeds DPTX is 1 EDFX EDFY + J. Assuming that the asset values for company X and company Y are jointly normally distributed, the correlation of default for companies X and Y can be calculated as

As you can see in the IDE s Output panel, the IDE did not find any errors in HelloBlackBerry.java, so it proceeded to successfully create HelloBlackBerry.cod in the HelloBlackBerry project folder. If the IDE finds errors in the .java file, it will describe each error in the Output panel and will not build the .cod file for your program. Because I supplied you with the correct code to HelloBlackBerry, there were no errors this time. But making mistakes or forgetting the proper Java syntax is extremely common when writing new code. Therefore, building a newly written BlackBerry program is usually an iterative process of writing code, building code, correcting errors in code, building code, correcting errors in code, and repeating until the build is successful.

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assume to be used in the network. Should this change, then the network can easily compensate for this as the terminal s assumption is known to the base station. CQI reporting is illustrated in Figure 4.15, showing that when the terminal is close to the base station and assumes high HS-DSCH power allocation (based on the value given by the network), a high CQI value is reported. Respectively, when the terminal is closer to the cell edge (the lowest curve) then the reported CQI is much lower, especially if the expected HSDPA Node B power allocation is low as well. When at or close to the cell edge, most of the interference comes from other cells and, thus, the representative geometry value is low around 0 dB or in some cases the value is negative.

Figure 15-4 Sketch showing strategy for performing a flat-field correction of a raw image. The pairs of figures show the image and an intensity plot across its diameter. The raw image shows a central object with shading error across the background; the intensity profile shows the irregular profile of the object, an overall slope due to shading error, and an overall boost in the signal due to the dark level. The flat-field image is from a featureless background region in the specimen. The dark image, a uniform, blank frame, contains the bias and read noise of the camera. The correction equation: The dark image is subtracted from both the raw and flat images before dividing the corrected raw image by the corrected flat image. The final corrected image is shown with uneven illumination and dark-level contribution removed. (Sketch from Roper Scientific, Inc., with permission)

Table 11.3 Results of tting an increasing number of change points to the data in Figure 11.2 Degrees of freedom No. of change points 0 1 2a 3

FIGURE 5.16 Exemplary con gurations of reaction diffusion medium for (a) 1 = 3 and 2 = 3, and (b) 1 = 4 and 2 = 3. Resting sites are black, precipitate is white [5].

Okeechobee that controlled rates of drainage and associated river stages along this lower reach of the river. Based on estimated bankfull discharges (40 m3 sec-1 downstream of Lake Kissimmee and 57 m3 sec-1 near Lake Okeechobee), the river was completely out of bank for 50 percent of the historical period of record along its upper reach and 25 percent of the time at the downstream gauge (Figure 6-3). Bankfull discharge in the Kissimmee River was nearly equivalent to mean annual discharge and almost an order of magnitude lower than other river systems with similar drainage areas (Warne et al. 2000). However, discharge pulses in the historic Kissimmee often supplemented rather than initiated oodplain inundation. During 6 of the 10 high discharge pulses and 12 of the 19 moderate discharge pulses from the upper basin, some of the oodplain at the gauging station downstream of

2.4. POSSIBILITY THEORY AND THE CONTEXT MODEL different basic probability assignment, because we now have P(Oi | Sj ) =

Because many Grid applications are extremely resource intensive, one of the primary drivers for Grid design and development has been the need to support applications requiring ultra-high-performance data computation, flow, and storage. Similarly, Grid networks require extremely high-performance capabilities, especially to support

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