5 citations · 9 across the 30 of their papers we have counts for
8 papers · 1 filter
Jackknife empirical likelihood ratio test for log symmetric distribution using probability weighted moments
Anjana S, Sudheesh Kattumannil
Log symmetric distributions are useful in modeling data which show high skewness and have found applications in various fields. Using a recent characterization for log symmetric di…
On Relative Cumulative Residual Information Measure and Its Applications
Mary Andrews, Smitha S, Sudheesh K Kattumannil +1
We develop a relative cumulative residual information measure (RCRI) that aims to quantify the divergence between two survival functions. The dynamic relative cumulative residual i…
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…
Nonparametric goodness of fit tests for Pareto type-I distribution with complete and censored data
Avhad Ganesh Vishnu, Ananya Lahiri, Sudheesh K. Kattumannil
Two new goodness of fit tests for the Pareto type-I distribution for complete and right censored data are proposed using fixed point characterization based on Steins type identity.…
Jackknife Empirical Likelihood Method for U Statistics Based on Multivariate Samples and its Applications
Naresh Garg, Litty Mathew, Isha Dewan +1
We develop a jackknife empirical likelihood (JEL) framework for inference on parameters defined through multivariate three-sample U-statistic. From three independent multivariate s…
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…
JEL ratio test for independence between a continuous and a categorical random variable
Saparya Suresh, Sudheesh K. Kattumannil
The categorical Gini covariance is a dependence measure between a numerical variable and a categorical variable. The Gini covariance measures dependence by quantifying the differen…
Jackknife empirical likelihood ratio test for testing the equality of semivariance
Saparya Suresh, Sudheesh K. Kattumannil
Semivariance is a measure of the dispersion of all observations that fall above the mean or target value of a random variable and it plays an important role in life-length, actuari…