Sentence examples for be a general probability from inspiring English sources

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Let P be a general probability distribution on ( Ω, F ).

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These two properties have to be satisfied by any reasonable dynamic measure of performance and/or measure of risk, and are shared by most such measures in the existing literature. 2 In the original paper (Artzner et al. 1999), the authors considered finite probability spaces, but later the theory was elevated to a general probability space (Delbaen 2000; 2002).

The CM is described locally by a general Probability Density Function (PDF), which is approximated by a truncated spectral expansion with a number of 'components' much smaller than the number of chemical components in the original mixture.

This paper presents a new mixed integer nonlinear stochastic staff scheduling model, where the workforce demands are under uncertainty, with a general probability distribution.

Stein's method is a general method in probability theory to obtain bounds on the distance between two probability distributions with respect to a probability metric (see Stein [9]).

Let f follow a gamma distribution such that The gamma distribution is a very general probability density allowing for shapes ranging from an exponential (when β = 1) through to normal-like distributions depending upon the values of α and β.

Year-specific effects control for unobserved factors such as time-trends and suggest that, with respect to 2002, there is a general decrease in the probability of injury occurrence to bus passengers.

Maxent is a general approach for characterizing probability distributions from incomplete information [ 41].

There are different trends in the histograms of gas consumption, but there is a general trend in diagrams of probability index (the probability of gas consumption exceeding a specific value) and their regressions.

In contrast, in the years after 2000, there is a general decrease in the probabilities of being in a high volatility regime and the cycles have a lower amplitude.

Maxent is a general-purpose method for characterizing probability distributions from incomplete information based on the principle of maximum entropy [ 26].

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