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Finally the accuracy of each methodology is analyzed and the pros and cons of each one are shown.
Proposed methodology is analyzed and tested for the following criteria: Bijective property, nonlinearity, strict avalanche criterion, output bits independence criterion and equiprobable input/output XOR distribution.
The inferential performance of this methodology is analyzed by means of an extensive study of simulated data and real data consisting of leukemia remission times.
The proposed methodology is analyzed and tested in simulation, first on the basis of the control model, and then using some "more accurate" model.
The aim of this article has been to offer a pragmatic, user-oriented perpective to the recently proposed quality criteria for futures research by Kuusi et al. [4] by providing a practical use case where the validity of a new futures research methodology is analyzed by applying these criteria.
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Assumptions and errors of the methodology are analyzed.
Can the significance of Dedekind's methodology be analyzed further, or can it be articulated in other terms?
The convergence of the proposed methodology was analyzed using Lyapunov stability theory.
The results obtained from one study case applying the methodology are analyzed.
The errors that may be induced by this type of methodology were analyzed in some studies (Park and Gil 2004; Park and Kang 2003).
The convergence aspects of the proposed methodology are analyzed and a numerical validation is explored through three applications of increasing complexity.
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concept is analyzed
methodology is investigated
calculation is analyzed
practice is analyzed
processes is analyzed
approaches is analyzed
procedures is analyzed
designs is analyzed
methodology is described
methodology is called
methodology is explained
methodology is presented
methodology is required
methodology is organized
methodology is based
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