5 citations · 9 across the 30 of their papers we have counts for
8 papers · 1 filter
Empirical Likelihood Based Inference for a Divergence Measure Based on Survival Extropy
Naresh Garg, Isha Dewan, Sudheesh Kumar Kattumannil
Survival extropy, which quantifies the uncertainty associated with the remaining lifetime distribution, provides an information-theoretic perspective on survival behavior. We consi…
On testing the class of symmetry using entropy characterization and empirical likelihood approach
Ganesh Vishnu Avhad, Ananya Lahiri, Sudheesh K. Kattumannil
In this paper, we obtain a new characterization result for symmetric distributions based on the entropy measure. Using the characterization, we propose a nonparametric test to test…
Jackknife Empirical Likelihood Ratio Test for Cauchy Distribution
Ganesh Vishnu Avhad, Ananya Lahiri, Sudheesh K. Kattumannil
Heavy-tailed distributions, such as the Cauchy distribution, are acknowledged for providing more accurate models for financial returns, as the normal distribution is deemed insuffi…
Weighted cumulative residual Entropy Generating Function and its properties
Smitha S., Sudheesh K. Kattumannil, Sreedevi E. P
The study on the generating function approach to entropy become popular as it generates several well-known entropy measures discussed in the literature. In this work, we define the…
Dynamic Cumulative Residual Entropy Generating Function and its properties
Smitha S., Sudheesh K. K., Sreedevi E. P.
In this work, we study the properties of cumulative residual entropy generating function. We then introduce dynamic cumulative residual entropy generating function (DCREGF). It is…
Relationships between cumulative entropy/extropy, Gini mean difference and probability weighted moments
Sudheesh Kattumannil, Sreedevi E. P, N. Balakrishnan
In this work, we establish a connection between the cumulative residual entropy and the Gini mean difference (GMD). Some relationships between the extropy and the GMD, and the trun…
Semiparametric transformation model for competing risks data with cure fraction
Sudheesh K Kattumannil, Sreedevi E P, Sankaran P G
We propose a new method for the analysis of competing risks data with long term survivors. The proposed method enables us to estimate the overall survival probability and cure frac…
A new goodness of fit test for normal distribution based on Stein's characterization
Sudheesh Kattumannil
In this paper, we develop a simple non-parametric test for testing normal distribution based on the distance between empirical zero-bias transformation and empirical distribution.…