collaborators
Showing stat.MEShow all

6 papers · 1 filter

stat.ME20241 cited

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…

stat.ME2021

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…

stat.ME2021

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.…

stat.ME2021

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…

stat.ME2021

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-…

stat.ME2018

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…