Search results
Results from the WOW.Com Content Network
A risk matrix is a matrix that is used during risk assessment to define the level of risk by considering the category of likelihood ... Marginal: injury causing lost ...
LOPA is a risk assessment undertaken on a 'one cause–one consequence' pair. The steps of a LOPA risk assessment are: [4] Identify the consequences, using a risk matrix; Define the risk tolerance criteria (RTC), based on the tolerable/intolerable regions on the risk matrix; Define the relevant accident scenario, e.g. mechanical or human failure
The covariance matrix can be used to compute portfolio variance. RiskMetrics assumes that the market is driven by risk factors with observable covariance. The risk factors are represented by time series of prices or levels of stocks, currencies, commodities, and interest rates.
A simple risk matrix is often used to transform these inputs into a level of risk, generally expressed as unacceptable, marginal or acceptable. If unacceptable, measures must be taken to reduce the risk to an acceptable level, and the outcome of the risk assessment must be accepted by the affected parties before a dive commences.
A marginal probability can always be written as an expected value: = () = [()]. Intuitively, the marginal probability of X is computed by examining the conditional probability of X given a particular value of Y , and then averaging this conditional probability over the distribution of all values of Y .
Confusion matrix; Pivot table, in spreadsheet software, cross-tabulates sampling data with counts (contingency table) and/or sums. TPL Tables is a tool for generating and printing crosstabs. The iterative proportional fitting procedure essentially manipulates contingency tables to match altered joint distributions or marginal sums.
when the two marginal functions and the copula density function are known, then the joint probability density function between the two random variables can be calculated, or; when the two marginal functions and the joint probability density function between the two random variables are known, then the copula density function can be calculated.
Risk aversion implies that their utility functions are concave and show diminishing marginal wealth utility. The risk attitude is directly related to the curvature of the utility function: risk neutral individuals have linear utility functions, while risk seeking individuals have convex utility functions and risk averse individuals have concave ...