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Then, Section 2 introduces a genuine model of dependent sources, for which separation is possible.
We now introduce a new statistical model of dependent sources, which consists in a probability mixture of sources.
We have then introduced a model of dependent sources which consists in a probability mixture of two distributions.
A DE is replaced producing sum of fractional polynomial derivative terms, forming a system model of dependent variables.
D-PNN constructs a general partial differential equation, which defines a system model of dependent variables, applying integral fractional polynomial sum terms.
Surprisingly, Hofmann and Streicher 1996 designed a model of dependent type theory where this is not valid, that is a model where they can be different proofs that two elements are equal.
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Tests results were involved statistical analysis, obtained regression models of dependent variables E1, E2 demonstrate high prediction capability; relative error in predicting of models is ± 25%.
MRF methods provide the framework for probabilistic modeling of dependent random variables.
This is an extension of simple regression modeling of dependent variable on independent variables to show associations between variables.
The model of path dependent local industrial evolution introduced by Martin (2010) is presented in Fig. 1.
The hybrid model of MCC dependent fingerprints encapsulated the features of all four classes show significant improvement in MCC value from 0.28 to 0.35 [Table 7].
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CEO of Professional Science Editing for Scientists @ prosciediting.com