Evaluating the performance and ranking of the judiciary of the provinces periodically is always of interest. This problem can be done with univariate approaches; But considering many variables involved in this matter, the use of multivariate methods is more justified. A new method for this is ranking based on the depth concept. In this paper, the performance of prosecutors' offices, criminal courts and appeals courts of the provinces have been ranked over one year based on two indicators; case processing rate and the case congestion rate, employing the depth multivariate method. Evaluating the results of ranking intuitively confirms the appropriateness and rationality of this approach.
Tat, S. (2023). Application of the multivariate depth-based method for ranking the performance of judiciary. Journal of Statistical Modelling: Theory and Applications, 3(1), 61-71. doi: 10.22034/jsmta.2023.19214.1070
MLA
Samaneh Tat. "Application of the multivariate depth-based method for ranking the performance of judiciary". Journal of Statistical Modelling: Theory and Applications, 3, 1, 2023, 61-71. doi: 10.22034/jsmta.2023.19214.1070
HARVARD
Tat, S. (2023). 'Application of the multivariate depth-based method for ranking the performance of judiciary', Journal of Statistical Modelling: Theory and Applications, 3(1), pp. 61-71. doi: 10.22034/jsmta.2023.19214.1070
VANCOUVER
Tat, S. Application of the multivariate depth-based method for ranking the performance of judiciary. Journal of Statistical Modelling: Theory and Applications, 2023; 3(1): 61-71. doi: 10.22034/jsmta.2023.19214.1070
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