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In corpus linguistics, a collocation is a series of words or terms that co-occur more often than would be expected by chance. In phraseology, a collocation is a type of compositional phraseme, meaning that it can be understood from the words that make it up.
Intelligence analysts "would rather use words than numbers to describe how confident we are in our analysis," a senior CIA officer who's served for more than 20 years told me. Moreover, "most consumers of intelligence aren't particularly sophisticated when it comes to probabilistic analysis. They like words and pictures, too.
Benefit shortfall – When the actual benefits of a venture are less than the projected or estimated benefits; Downside risk – Risk of the actual return being below the expected return; Efficient contract theory – Hypothesis that if a contract continues to exist it must be efficient due to survivorship bias
Increased expected value maximization with losses – It was found that individuals are more likely to select choice options with higher expected value (namely, mean outcome) in tasks where outcomes are framed as losses than when they are framed as gains. Yechiam and Hochman found that this effect occurred even when the alternative producing ...
Those zeros lower your average, meaning you'll have a smaller benefit than if you'd had a full 35 years of income. If You Worked Only 20 Years: Social Security will factor in 15 zero-income years ...
Wholesale prices rose more than expected in November, adding to a string of sticky inflation prints. Thursday's report from the Bureau of Labor Statistics showed that its producer price index (PPI ...
In business and for engineering economics in both industrial engineering and civil engineering practice, the minimum acceptable rate of return, often abbreviated MARR, or hurdle rate is the minimum rate of return on a project a manager or company is willing to accept before starting a project, given its risk and the opportunity cost of forgoing other projects. [1]
In statistics, overdispersion is the presence of greater variability (statistical dispersion) in a data set than would be expected based on a given statistical model. A common task in applied statistics is choosing a parametric model to fit a given set of empirical observations. This necessitates an assessment of the fit of the chosen model.