Open AccessAnalysis of an Agricluture Data Using Markov Basis for Independent Model
Author(s) -
Maysaa Jalil Mohammed,
Ali Talib Mohammed
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1530/1/012071
Subject(s) - contingency table , statistic , markov chain , algebraic number , computer science , basis (linear algebra) , mathematics , entropy (arrow of time) , algebra over a field , statistics , econometrics , pure mathematics , mathematical analysis , physics , geometry , quantum mechanics
Algebra statistical is one of the recent topics that has seen rapid development, it is considering as the consequence of the convergence of ideas between statistics and algebra. Moreover, Algebraic statistic has many applications in many different fields, one of these important field is agriculture. In this paper, we analyse a 3x2 contingency table which contains agriculture teaching experience and perception of secondary school agriculture. The method of algebraic statistic they will be used for a mainly Markov Basis of independent model and the computation of Entropy for variance alternative contingency tables based on Tsallis Entropy. In addition, the usefulness of this paper is to illustrate agriculture data. Finally, we will find Toric ideal to generate the elements of Markov Basis.