Sentence examples similar to loss pool from inspiring English sources

Age ⩾60 years (pooled PLR: 2.79, 95% confidence interval (CI) 2.00 3.90), weight loss (pooled PLR: 1.89, 95% CI: 1.03 3.07) and change in bowel habit (pooled PLR: 1.92, 95% CI: 0.54 3.57) raise the probability of colorectal cancer into the range of referral to secondary care but do not conclusively 'rule in' the diagnosis.

Another idea would be to create a so-called "excess-of-loss pool" that would allow the monolines to reinsure their nastiest tail risks.Banks have reasons to pause before taking part.

Its last loss in pool play happened in 2004.

In order to show the potential of such an approach, in this study Regression Tree M5P model, Bagging algorithm and Random Forest algorithm were applied to the solution of some complex problems of wastewater engineering: the prediction of energy loss, the pool depth, the air entrainment in a drop manhole, and the forecasting of the lateral outflow in a low crested side weir.

That is significantly higher than the Depression-era experience of losses per pool.

The energy demand for water heating is evaluated taking into account heat losses from pool surface and for water evaporation.

They were facing relegation to Group B following losses to pool winners Slovenia, Austria and Japan earlier in the week.

Losses on pools of these mortgages will exceed 20% -- far higher than the depression experience.

Even if 10% default - which would by prior experience be a huge number - and there are losses of 60% on each defaulted loan, the total losses on each pool would be 6%10%0% defaults x 60% losses).

Under the terms of the arrangement, Citi will swallow the first $29.5 billion in losses on this pool; 90percentt of any additional losses will be borne by the government and the other 10percentt by Citi.

Simulation (100,000 trials) suggested that the probability of such 6 parallel losses among eight intron losses in a pool of 20 introns was about 1%, at most 3% when considering that some positions were lost more frequently (estimated by the actual rate observed in our data set).