Effective of Renyi Entropy in Markov Basis for Independent Model
Abstract
The general concept of algebraic statistics is to employ algebra tools to provide a better view of the
structure of statistical problems and to contribute to finding solutions. The algebraic and statistical
mixture represented by the method of Markov basis for the independent model (MBIM) on the
contingency table is considered highly efficient to study and analyze the target problem which is
Rheumatoid arthritis. The verification of the proposed method is carried out by taking advantage of the
effect of the entropy property by using the law of Renyi entropy to show which of the alternate matrices
that exist within the fiber elements are more independent than others
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