Probability of loss

For a eatastrophie failure in the aerospaee industry with a high probability of loss of life, whieh relates to an FMEA Severity Rating (S) = 10, a business eould quite possibly need insuranee eover well in exeess of 100 million. This will allow for eosts due to failure investigations, legal aetions, produet reeall and possible loss of... 

Catastrophic failure with high probability of loss of life... 

The extent to which desensitization can occur by recombination of a photoelectron with a hole trapped by a dye is not known. This mode is theoretically possible, but it is also possible that hole trapping could increase sensitivity if the probability of reaction of a mobile hole with a trapped electron or silver atom is greater than the probability of loss of a mobile electron to a trapped hole or if the cross-section for recombination of an electron with a dye-trapped hole is less than with an intrinsically trapped hole. Sensitization by hole trapping dyes has been demonstrated by Leubner (269) who showed that, independently of Er, dyes with Eqx less than 0.5 V can chemically sensitize emulsions with about.constant efficiency. 

Table 10.2 Assessment criteria for the probability of loss of control during a runaway reaction.

Still another measure of risk is the probability of loss, a statistic that measures the probability that the return will lie below some predetermined critical level, h. The probability of loss (L) for a... 

Simply analyzing the individual credits and averaging their individual probabilities of loss is likely to understate the actual losses that will occur across the portfolio because certain factors, whether macroeconomic, sector-specific, or otherwise, are likely to impact more than one credit simultaneously. A variety of institutions use proprietary analytic methods (i.e., Monte Carlo based simulation techniques) to explore correlation assumptions in light of these factors. 

Having calculated the expected loss to each tranche, we can return to the Idealized Cumulative Default table to generate a rating for them. In our hypothetical portfolio, we find implied ratings of Aa3 for the second loss tranche because of its expected loss of 0.039%, and Aaa for the third loss tranche, where the probability of loss is negligible. The most... 

Probability of safe failure for a one-year interval of TXl = 0.02 Probability of safe failure for a one-year interval of TX2 = 0.02 Probability of loss of power for a one-year interval to transmitters = 0.01... 

Loss of off-site power A probability of loss of off-site power of 3 times per year is supported by the data from 1977 to 1997. 

Table 3. Probability of loss (%) forthe proposed Jenkins scenarios using the optimistic (min.) and pessimistic (max.) Kaplan-Meier statistics. 

Each scenario comprises a mixture of missions in different environments. The extended Kaplan-Meier approach was used to estimate the probability of survival for each mission. The prohahihty of surviving a scenario was calculated hy simply using the joint probability expression. Results for the probability of loss for each scenario, using the optimistic and the pessimistic risk models, are summarized in Table 3. 

The calculations in Annex H of Brito et al. (2008), show that for scenario 3 (optimistic) the probability of loss would be reduced to 30% and for scenario 4 to 39%. While these are indicative of a significant risk reduction, these risk estimates are higher than the acceptable limits defined by the Autosub3 Responsible Owner (NOCS Director). An increase of the monitoring distance from 25km to 50 km would allow compliance with the risk levels established by the responsible owner. Results presented in Annex 1 of the same report, show that if the AUV is monitored for the first 48km the probability of loss would be 3.5%... 

Brito, M.P., Griffiths, G., and Trembanis, A., 2008. Eliciting expert judgment on the probability of loss of an AUV operating in four environments. National Oceanography Centre Southampton, Research and Consultancy Report 48, 2008. [Online]. Available http //eprints.soton. ac.uk/54881/. 

Resulting from variability of input quantity 25 simulation steps on the base of RSM method under system ANSYS-CRACK was realized (Kralik,J. 2009a). The probability of loss BT- structure integrity was calculated from 10 Monte Carlo simulations for 25 steps of approximation method RSM on the full structural FEM model. The probability analysis was realized for structural FEM model considering the concrete cracking. 

A ftmctionahty offered by virtual server enables a use of network accessed storage (NAS) devices. It means that virtual environment keeps full functionality of standalone computer connected to network. This function is a crucial thing in high performance business computing solution. A central role of NAS device in corporation network reduces a probability of loss or leak a confidential data. Similar hke in conventional computer solution a network administrator can control data flow through network and they can easy make a copy of data stored by NAS device. Virtual server solutions offer an expanding NAS capacity solution, this function is made by using a technique of online files size compression (Yuen 2008). This solution enables entities of virtual servers to get an access for more hard disk space than it would be in typical standalone machine without online file size compression. 

Term nsed within the insnrance indnstry to describe a property risk that has a high degree of care taken for safety and protection (e.g., provision of lire sprinklers in a building) and is considered a superior facility from a loss viewpoint (i.e., low probability of loss) therefore, it has a very low insurance rate compared to other industrial risks. Historical Incident Data... 

Probability Consider the probability of loss that occurs each time the job is performed. The key question is, How likely is it that things will go wrong when this job is performed The probability is influenced by a number of factors, such as the hazards associated with the task, difficulty in performing the job, the complexity of the job, and whether the work methods are error-provocative. Use the following point values. 

General Process Design. There may, for example, be aspects of the design which reduce the probability of loss of containment, or of ignition if containment is lost, so reducing the probability of a fire or e q>losion event. 

Determination It is determined by the risk priority number (RPN) (see Clause 2.0.8) Qualitative Comparing failure mode in criticality matrix (discussed later) Quantitative Item criticality = Smode criticality (MC) where MC = Unreliability x probability of loss X Mode ratio of unreliability Criticality matrix is necessary... 

These changes may be increasing the probability of loss-producing situations. 

Risk characteristics are uncertainty, probability, the dispersion of results (adverse effects). There are two ways to define risk. The first of these combines the risk with possible distribution of results—the risk is a possible variance of the expected results. In this perspective, risk is a function of the variability of possible outcomes. A second look at risk refers to the probability of losses and their sizes. The more probable that an event causing losses occur, the greater risk is. According to this definition, the size of the risk can be defined as the frequency of obtaining undesirable results. Then you can bind the level of the risk with the sizes of possible losses. In this perspective, the greater the loss suffered may be the greater risk occurs. There is also a definition of risk as the product of the probability of occurrence of an adverse event and the size of the losses caused by event. 

Risk is the chance or probability of loss , an evaluation of the potential for failure. It is easy to confuse the terms hazard and risk , but a simple way to remember the difference is that hazard describes potential for harm. 

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