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To assess the role of different types of randomness on the properties of Qualitative Stability, we generated different types of random networks with different constraints using a variable number of characteristics of the E. coli network discussed in the main article.
People don't take into account the types of randomness inherent in many economic variables.
Two different types of randomness are introduced, namely, randomness in the spatial location of the dislocations and randomness in the stress needed to activate them.
We introduce two types of randomness for each replicate: noise in the theoretical correlation structure and the genes selected for permutation.
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With the given type of randomness in the system, we prove that there is a greater chance of the disease vanishing from the population.
This type of randomness (or semi-randomness) is what we have learned over the years makes polls statistically reliable.
However, selecting the right type of randomness can be problematic.
Hence, the type of randomness in associations between bivalents has nontrivial consequences.
Therefore, the type of randomness in localization and associations between bivalents has nontrivial consequences.
In this paper, we consider a Portmanteau-type test of randomness for symmetric α stable random variables with exponent 0<α≤2, using a test statistic that differs from, but has the same general form as Box Pierce Q-statistic, which is defined using the codifference function.
This also holds for a prior work of Inderfurth and Clemens (2014) which considers the coordination properties of various risk-sharing contracts under this type of yield randomness.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com