5 citations · 5 across the 3 of their papers we have counts for
3 papers
Dependence and Uncertainty: Information Measures using Tsallis Entropy
Swaroop Georgy Zachariah, Mohd. Arshad, Ashok Kumar Pathak
In multivariate analysis, uncertainty arises from two sources: the marginal distributions of the variables and their dependence structure. Quantifying the dependence structure is c…
Multivariate Information Measures: A Copula-based Approach
Mohd. Arshad, Swaroop Georgy Zachariah, Ashok Kumar Pathak
Multivariate datasets are common in various real-world applications. Recently, copulas have received significant attention for modeling dependencies among random variables. A copul…
A new class of copulas having dependence range larger than FGM-type copulas
Swaroop Georgy Zachariah, Mohd. Arshad, Ashok Kumar Pathak
We propose a new bivariate symmetric copula with positive and negative dependence properties. The main features of the proposed copula are its simple mathematical structure, wider…