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Approved for public release; distribution is unlimited. Abstract The U.S. Army Engineer Research and Development Center (USACE ERDC) Environmental Lab (EL) and Metropolitan Council Environmental Services (MCES) developed an advanced water quality model of the Lower Minnesota River (Jordan, Minnesota, to the mouth) using the CE-QUAL-W2 modeling framework.(More)
The measurement of credit quality is at the heart of the models designed to assess the reserves and capital needed to support the risks of both individual credits and portfolios of credit instruments. A popular speci…cation for credit-rating transitions is the simple, time-homogeneous Markov model. While the Markov speci…cation cannot really describe(More)
This paper considers issues relating to the segmentation or grouping of credit exposures and the potential impact upon economic capital allocation and attribution. When discussing capital allocation, we refer to the assessment of total capital at the portfolio level, while our discussion of capital attribution focuses on getting capital assigned(More)
Abnormal electroencephalographic seizure-like activity and myoclonic movements have been recognized during enflurane anesthesia. This is most commonly seen in the presence of respiratory alkalosis and high concentrations of enflurane. Immediate and delayed postoperative generalized tonic-clonic convulsions have also been reported after enflurane anesthesia.(More)
Models abound that analyze changes in credit quality. These models are designed to determine the reserves and capital needed to support the risks of individual credits as well as portfolios of credit instruments. Historical information on the transition of credit exposures from one quality level, or rating, to another is often used to estimate models that(More)
Lenders use rating and scoring models to rank credit applicants on their expected performance. The models and approaches are numerous. We explore the possibility that estimates generated by models developed with data drawn solely from extended loans are less valuable than they should be because of selectivity bias. We investigate the value of " reject(More)
Lenders use rating and scoring models to rank credit applicants on their expected performance. The models and approaches are numerous. We explore the possibility that estimates generated by models developed with data drawn solely from extended loans are less valuable than they should be because of selectivity bias. We investigate the value of " reject(More)
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