Cumulative probability distribution


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Cumulative probability distribution

A function that shows the probability that the random variable will attain a value less than or equal to each value that the random variable can take on.
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The empirical cumulative probability distribution (Figure 3) shows that the empirical cumulative probability distributions for monthly mean temperatures that are simulated by most GCMs are quite close to the observations (excluding the inm-cm4 and ipsl-cm5b-lr models, which underestimate the ensemble temperature in the Yellow-Huai-Hai region).
This function defines a cumulative probability distribution function (CDF) with probability distribution function (PDF).
The cumulative probability distribution curve of the root mean square error (RMSE) is shown in Figure 7.
It is found that degree of fitting between the cumulative probability distribution curve of the displacement efficiency and the hyperbolic tangent function is better [7].
Under the neutral climate change scenario, and assuming that fishing is only conducted by the Sinaloa RSV, the cumulative probability distribution of NCI shows a probability lower than 8% of incurring losses; under the monotonic warming scenario, the probability of yielding a positive NCI is 23%.
95 or 99 percent), the credits' correlation and unconditional probabilities of default, and the binomial cumulative probability distribution.
As a result, the marginal cumulative probability distribution functions are
where w is the probability mass function, [delta] (x-n) is a delta function, and [PHI] is the cumulative probability distribution function.
The conditional probability, P(DS[greater than or equal to]ds|D=d) is expressed by a cumulative probability distribution. The "direct" approach was followed in developing the vulnerability functions where damage statistics were correlated with the field observations of a demand parameter.
This change is represented in Figure 2 and has a sign opposite that of [Delta]F.(5) This change, [Delta][a.sup.*], is translated into the proportion of taxpayers through the cumulative probability distribution function in the southwest quadrant.
Given that the dislodgment force is the maximal force each individual can sustain, the cumulative probability distribution estimated using Eq.
FSD holds whenever one cumulative probability distribution lies entirely, or partly, under another.
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