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We tested specificity in the presence of two types of environmental change: "random", representing interannual climate variability and "directional", representing climate change.
From 19 countries with more than 15 medical schools (range 16 148) 15 schools were sampled at random representing at least 10% of the total number of schools in that country.
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Here, "exhaustive" represents the result achieved by exhaustive algorithm, "proposal" represents the result achieved by proposed algorithm, and "random" represents the result obtained when the clustering formation is determine randomly.
Our sample, chosen at random, represents the population from which it came.
The study sample of the 36 JJ sites was non-random, representing 7 states.
To determine the extant to which these coevolution strengths diverged from random chance, the expected means and variances for the random variables representing random strengths were mathematically determined.
Let and be independent random variables, and let be a random variable representing their weighted sum.
Let and, where and are random variables representing the actual partial frequency trajectory, and and are random variables representing the zero-mean, independent noise associated.
Let be defined as a random process representing the backoff counter of a node with representing random process of the back stage.
For instance, a random variable representing the number of automobiles sold at a particular dealership on one day would be discrete, while a random variable representing the weight of a person in kilograms (or pounds) would be continuous.
Sensitivity and parametric studies are performed with respect to random variables representing modelling uncertainties.
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