On Stochastic Ordering Comparisons of Renewal, Trend Renewal and Quasi-renewal Processes
- Suman Kalyan Ghosh
- Sreenivasan Ravi
Research Article
15 June 2026
Overview
Journal of the Indian Society for Probability and Statistics is a scholarly publication fostering knowledge in statistics, probability, and operations research along with their applications in in agricultural, biological, economics, health, physical and social sciences.
- Publishes original research and review articles in all branches of probability and statistics.
- Aims to bridge the gap between academicians and practitioners.
- An official publication of the Indian Society for Probability and Statistics.
- Welcomes articles on innovative case studies, teaching methodologies and review articles on current topics.
- Maintains rigor through strict review processes and high-quality global reviewers.
- Editor-in-Chief
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- Debasis Kundu
Societies and partnerships
Journal metrics
- Journal Impact Factor
- 0.6 (2024)
- 5-year Journal Impact Factor
- 0.6 (2024)
- Submission to first decision (median)
- 35 days
- Downloads
- 17.5k (2025)
Latest issue
Latest articles
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Comprehensive Investigation of Statistical Inference and Predictive Analysis for Joint Type-II Censored Data From Two Poisson-Exponential Populations
- Soheila Akbari Bargoshadi
- Hossein Bevrani
- Reza Arabi Belaghi
Research Article 13 June 2026 -
On the Distribution-Free Discrimination: (A New Method of Discrimination)
- Mahmoud Eltehiwy
- Abu Bakr Abdulmotaal
- Noura Taha Abu-Elmagd
Research Article 10 June 2026 -
A Data-driven Approach to Detecting Change Points in High Concentration of Outliers and Autocorrelated Noise
- Agniva Das
- Muralidharan Kunnummal
Research Article 28 May 2026 -
Asymptotic Power Performance of Modified Measure of Correlation \(\tau ^*\) Under Generalized Partially Linear Logistic Regression
- Sthitadhi Das
- Molay Kumar Ruidas
Research Article 25 May 2026
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Editorial Excellence
Congratulations to the Editor-in Chief Debasis Kundu! 👁 Editorial Excellence badge
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Propose a Special Issue for Journal of the Indian Society for Probability and Statistics
Journal of the Indian Society for Probability and Statistics welcomes well-formed proposals for potential Special Issues on key topics in any fields of probability and statistics motivated by real life applications.
Special Issues contributing to recent advancements on statistical learning, deep learning, high-dimensional problems, semi-parametric models, biostatistics, random networks, and bioinformatics are invited.
Submit your proposal to the Editor-in-Chief, Debasis Kundu!
Journal information
- Electronic ISSN
- 2364-9569
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