5 citations · 9 across the 30 of their papers we have counts for
20 papers · 1 filter
Time-dependent two-way partial AUC and partial Youden Index estimator for right censored data
Arpan Sanyal, Sudheesh Kumar Kattumannil, Ayon Ganguly
In medical research, it is often of interest to evaluate the predictive performance of a biomarker. Statistical approaches based on the Receiver Operating Characteristic (ROC) curv…
Weighted Cumulative Residual Mathai-Haubold Entropy
Anija C. R, Smitha S, Sudheesh K. Kattumannil
In this paper, we introduce the weighted cumulative residual Mathai--Haubold entropy and establish its fundamental properties. A dynamic version is developed, and its behavior unde…
Empirical Likelihood Inference for Sen and Sen--Shorrocks--Thon Indices
Sreelakshmi N, Saparya Suresh, Sudheesh K. Kattumannil
The Sen index and Sen-Shorrocks-Thon (SST) index are widely used measures of poverty indices. Developing reliable inference for these measures enables us to compare these measures…
A unified testing approach for log-symmetry using Fourier methods
Ganesh Vishnu Avhad, Sudheesh K. Kattumannil
Continuous and strictly positive data that exhibit skewness and outliers frequently arise in many applied disciplines. Log-symmetric distributions provide a flexible framework for…
The Cumulative Residual Mathai--Haubold Entropy and its Non-parametric Inference
Anija C. R, Smitha S., Sudheesh K. Kattumannil
We introduce the cumulative residual Mathai--Haubold entropy (CRMHE) and investigate its properties. We then propose a dynamic counterpart, the dynamic cumulative residual Mathai--…
On Weighted Entropy Generating Function
Smitha S., Mary Andrewsa, Sudheesh K. Kattumannil
In this paper, we study the properties of the weighted entropy generating function (WEGF). We also introduce the weighted residual entropy generating function (WREGF) and establish…
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…
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…
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…
A New measure of income inequality
Sudheesh K Kattumannil, Saparya Suresh
A new measure of income inequality that captures the heavy tail behavior of the income distribution is proposed. We discuss two different approaches to find the estimators of the p…
Non-parametric estimation of cumulative (residual) extropy
Sudheesh K. K., Sreedevi E. P
Extropy and its properties are explored to quantify the uncertainty. In this paper, we obtain alternative expressions for cumulative residual extropy and negative cumulative extrop…
A new goodness of fit test for gamma distribution with censored observations
Vaisakh K. M., Sreedevi E. P., Sudheesh K. Kattumannil
In the present paper, we develop a new goodness fit test for gamma distribution using the fixed point characterization. U-Statistic theory is employed to derive the test statistic.…
A new goodness of fit test for uniform distribution with censored observations
Sudheesh K. Kattumannil, Sreedevi E. P
Using fixed point characterization, we develop a new goodness of fit test for uniform distribution. We also discuss how the right censored observations can be incorporated in the p…
A non-parametric test for testing independence between time to failure and cause of failure of discrete competing risks data
Sreedevi E. P., Sudheesh K. K., Isha Dewan
Competing risks data with discrete lifetime comes up in practice. However, only limited literature exists for such data. In this paper, we propose a non-parametric test based on U-…
Jackknife empirical likelihood based inference for Probability weighted moments
Deepesh Bhati, Sudheesh K Kattumannil, N Sreelakshmi
In the present article, we discuss jackknife empirical likelihood (JEL) and adjusted jackknife empirical likelihood (AJEL) based inference for finding confidence intervals for prob…
Jackknife Empirical Likelihood-based inference for S-Gini indices
Sreelakshmi N, Sudheesh K Kattumannil, Rituparna Sen
Widely used income inequality measure, Gini index is extended to form a family of income inequality measures known as Single-Series Gini (S-Gini) indices. In this study, we develop…
A note on Quantile curves based bivariate reliability concepts
Sreelakshmi N
We extend the univariate quantile based reliability concepts to the bivariate case using quantile curves. We propose quantile curves based bivariate hazard rate and bivariate mean…