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A Second-Generation Merton-Type Model There is a problem with implementing the Merton insight directly. To do so, we would need to specify not only the market value of the rm s assets and the volatility of that value but also the complete claim structure of the rm. And that latter problem keeps us from actually implementing the Merton insight itself. Instead, the KMV model actually implements an extension of the Merton model proposed by Francis Longstaff and Eduardo Schwartz. The Merton approach posits that a rm will default when asset value falls below the face value of the debt. That is not what we actually observe empirically. Instead, we observe that, when a rm defaults, the value of the assets is considerably below the face value of the claims against the rm. To deal with this, Longstaff and Schwartz speci ed a value K below the face value of the rm s debt. And default occurs when the value of the assets hits this value K.

Fig. 5.2 Dependence of vf and vb on electrode potential E and transfer coefficient a. Eeq is the equilibrium potential.

where vRPY Q oR R oP S oY P C:142

Due to the fact that sensors should have a small transmission range of the order of a few meters, the network must have in the order of thousands of nodes in order to cover the whole area In such a case, the algorithms running inside the network should scale well in parallel to the increasing number.

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In terms of the average fractional mass gain Fg , Eq. (5.3.18) can be rewritten as dSnm dx V0 N0 Fg bL 5:3:22

loopless algorithms 2, 4 5 minimal change order 3, 18 22 random generation 29 31 ranking 23 29 unranking 3, 23 29, 31 35 worst case 2 Combiner model 384 Common Best Response property 294 Communication networks 485 Computational chemistry 89, 95 Computer-aided drug designs 89 Computer-aided searching algorithms 89 Computer vision (CV) 317, 329, 343, 347 Computer vision system 347 Concentrated Nash equilibria 293 Connectivity index 94 Content-based image retrieval 347 Convex hull algorithm 355 Critical Assessment of Microarray Data Analysis (CAMDA) 119, 141 Cryptanalysis 373 Cryptographic algorithms 373 404 Cryptography 373 374 Cryptology 373 Cryptosystem 373 Cybenko theorem 106 Data mining 347 Data mining algorithms 177 239 Data stream algorithm design 248 264 AMS sketches 254 approximation 262, 264 communication complexity 260 261 deterministic algorithm 260, 262 frequent items 249 251 lower bounds 260 261 probabilistic counting 252 254 randomization 261, 264 randomized algorithm 260, 264 randomized linear projections 254 reservoir sampling 248 249 sampling 248 simulation of PRAM algorithms 258 259 sketches 252 weight matching problem 256 Data stream algorithms 241 269 Data stream models 246 247 classical streaming 246 semi-streaming 246

VCR is limited to about 4 5 MHz (as opposed to 10 15 MHz for the camera), which reduces the horizontal resolution (number of lines per picture height) from 800 black and white lines for the camera down to about 320 (4/10 800) lines for a home VCR. Once written to tape, the original 10 MHz resolution of the camera cannot be recovered. Nevertheless, VCRs are very convenient image storage devices and are commonly employed. In cases where the full resolution of the camera must be maintained, live images can be captured by a frame grabber in a computer or sent to a freeze-frame device for recording on film. Two VCR formats are commonly available: VHS (video home system) S-VHS (super VHS) 320 display lines (240 lines for color) 400 display lines

Handbook of Psychology in Legal Contexts, Second Edition Edited by D. Carson and R. Bull. C 2003 John Wiley & Sons, Ltd.

1. Capacity constraints: There must be enough capacity additions to meet load and reserve requirements. 2. Development time constraints: Capacity may not come on line before the time required by the development cycle.

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