Search results
Results from the WOW.Com Content Network
Risk is the lack of certainty about the outcome of making a particular choice. Statistically, the level of downside risk can be calculated as the product of the probability that harm occurs (e.g., that an accident happens) multiplied by the severity of that harm (i.e., the average amount of harm or more conservatively the maximum credible amount of harm).
The lack of appropriate WEPs would lead to confusion about the likelihood of an attack and to guessing about the period in which it was likely to occur. The language used in the memo lacks words of estimative probability that reduce uncertainty, thus preventing the President and his decisionmakers from implementing measures directed at stopping ...
The log-likelihood function being plotted is used in the computation of the score (the gradient of the log-likelihood) and Fisher information (the curvature of the log-likelihood). Thus, the graph has a direct interpretation in the context of maximum likelihood estimation and likelihood-ratio tests .
In epidemiology, a risk factor or determinant is a variable associated with an increased risk of disease or infection. [1]: 38 Due to a lack of harmonization across disciplines, determinant, in its more widely accepted scientific meaning, is often used as a synonym.
Likelihoodist statistics or likelihoodism is an approach to statistics that exclusively or primarily uses the likelihood function.Likelihoodist statistics is a more minor school than the main approaches of Bayesian statistics and frequentist statistics, but has some adherents and applications.
Analyses are usually developed when directed to do so by a supervisor, when indicated by the use of a first tier risk assessment and when a hazard associated with a task has a likelihood rating of 'possible' or greater. Generally, high consequence, high likelihood task hazards are addressed by way of a job safety analysis.
Probability is the branch of mathematics and statistics concerning events and numerical descriptions of how likely they are to occur. The probability of an event is a number between 0 and 1; the larger the probability, the more likely an event is to occur. [note 1] [1] [2] This number is often expressed as a percentage (%), ranging from 0% to ...
If it turns out that the sensitivity is high then any person who has the disease is likely to be classified as positive by the test. On the other hand, if the specificity is high, any person who does not have the disease is likely to be classified as negative by the test. An NIH web site has a discussion of how these ratios are calculated. [3]