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National Institute of Technology Rourkela

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Research library23linked papers
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Selected work

Representative Papers

Weighted cumulative past inaccuracy and Kullback-Leibler divergence based on extropy: properties, estimation, and applications

Aug 13, 2026

This study addresses the challenge of effectively quantifying differences between non-negative lifetime distributions by introducing, for the first time, the concept of weighted cumulative past extropy (WCPE). Building upon this foundation, the authors propose two novel information divergence measures: WCPE-based divergence (WCPED) and WCPE-based index (WCPEI). The work systematically develops their theoretical properties, establishes nonparametric estimation procedures, and formulates dynamic extensions. Monte Carlo simulations demonstrate the favorable finite-sample performance of the proposed estimators. In uniformity testing, the new methods consistently outperform existing approaches across a range of alternative hypotheses. Furthermore, the methodology proves effective in image analysis, successfully capturing shifts in pixel intensity distributions induced by changes in resolution, thereby highlighting its advantages in both statistical inference and real-world data applications.

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Statistical inference of a competing risks model based on improved adaptive type-II progressive censored data under Gompertz lifetime distribution

Aug 02, 2026

This study addresses the survival dynamics of zebra finches under varying food availability by developing a lifetime inference model incorporating two competing causes of failure. Assuming lifetimes follow a Gompertz distribution, the authors propose an improved adaptive Type-II progressive censoring scheme and estimate model parameters using both maximum likelihood and Bayesian approaches—employing non-informative and informative priors—along with several loss functions to construct highest posterior density (HPD) credible intervals. Theoretical analysis establishes the unique existence of the parameter estimates, while Monte Carlo simulations evaluate and compare estimation performance. The methodology is further validated using real avian data. Additionally, three optimality criteria for censoring schemes are introduced, offering novel guidance for designing survival experiments.

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Recent publications

Latest Papers

Weighted cumulative past inaccuracy and Kullback-Leibler divergence based on extropy: properties, estimation, and applications

Aug 13, 2026

This study addresses the challenge of effectively quantifying differences between non-negative lifetime distributions by introducing, for the first time, the concept of weighted cumulative past extropy (WCPE). Building upon this foundation, the authors propose two novel information divergence measures: WCPE-based divergence (WCPED) and WCPE-based index (WCPEI). The work systematically develops their theoretical properties, establishes nonparametric estimation procedures, and formulates dynamic extensions. Monte Carlo simulations demonstrate the favorable finite-sample performance of the proposed estimators. In uniformity testing, the new methods consistently outperform existing approaches across a range of alternative hypotheses. Furthermore, the methodology proves effective in image analysis, successfully capturing shifts in pixel intensity distributions induced by changes in resolution, thereby highlighting its advantages in both statistical inference and real-world data applications.

0 citationsRead paper

Statistical inference of a competing risks model based on improved adaptive type-II progressive censored data under Gompertz lifetime distribution

Aug 02, 2026

This study addresses the survival dynamics of zebra finches under varying food availability by developing a lifetime inference model incorporating two competing causes of failure. Assuming lifetimes follow a Gompertz distribution, the authors propose an improved adaptive Type-II progressive censoring scheme and estimate model parameters using both maximum likelihood and Bayesian approaches—employing non-informative and informative priors—along with several loss functions to construct highest posterior density (HPD) credible intervals. Theoretical analysis establishes the unique existence of the parameter estimates, while Monte Carlo simulations evaluate and compare estimation performance. The methodology is further validated using real avian data. Additionally, three optimality criteria for censoring schemes are introduced, offering novel guidance for designing survival experiments.

0 citationsRead paper