Dr. Sangita Das is an Assistant Professor in the Department of Mathematical Sciences at the Indian Institute of Science Education and Research, Berhampur. Her research interests lie in probability theory, mathematical statistics, reliability theory, survival analysis, stochastic ordering, and dependence modeling. She obtained her Ph.D. in Statistics from the National Institute of Technology Rourkela, where her work focused on stochastic comparisons and reliability modeling under heterogeneous settings. Prior to joining IISER Berhampur, she was a National Post-Doctoral Fellow at the Theoretical Statistics and Mathematics Unit, Indian Statistical Institute Bengaluru. She has also been associated with international research collaborations, including research visits to Ghent University, Belgium. Her current research aims to develop rigorous probabilistic and statistical methodologies with applications in reliability engineering, risk analysis, and data-driven decision sciences.
14. Sangita Das, Narayanaswamy Balakrishnan, (2026). Ordering results for extended Weibull distribution based on samples of random size, Statistics, 1-12 pp., DOI:10.1080/02331888.2026.2706620.
13. Sangita Das, (2026). Ordering results for extreme claim amounts based on random number of claims, Ricerche di Matematica, 1-29 pp., DOI:10.1007/s11587-026-01094-9. (Link)
12. Sangita Das, Narayanaswamy Balakrishnan, (2026). Ordering results for random maxima and minima from two dependent Kumaraswamy generalized distributed samples, Statistics, 60(1) :204-222 . DOI: 10.1080/02331888.2025.2552185. (Link)
11. Ramkrishna Jyoti Samanta, Sangita Das, Narayanaswamy Balakrishnan, (2024). Orderings of extremes among dependent extended Weibull random variables, Probability in the Engineering and Informational Sciences, 38(4) :705-732. DOI: 10.1017/S026996482400007X. (Link).
10. Sangita Das, Suchandan Kayal, Nuria Torrado, (2024). Ordering results between extreme order statistics in models with dependence defined by Archimedean [survival] copulas, Ricerche di Matematica, 73(4) :1997-2033. DOI: 10.1007/s11587-022-00715-3. (Link)
9. Sangita Das, Suchandan Kayal, (2024). Ordering results of extreme order statistics from multiple-outlier scale models with dependence, Stochastic Models in Probability and Statistics, 1(1):47-73. (Link)
8. Sangita Das, Suchandan Kayal, (2024). Stochastic comparison of the second-order statistics arising from exponentiated location-scale model, Communications in Statistics - Theory and Methods, 53(7): 2430-2458. DOI: 10.1080/03610926.2022.2134974. (Link).
7. Sangita Das, Suchandan Kayal. (2023). Stochastic comparison of the second-largest order statistics from heterogeneous models, Journal of Industrial and Management Optimization, 19(8):6286 - 6301. DOI: 10.3934/jimo.2022216. (Link).
6. Sangita Das, Suchandan Kayal, Narayanaswamy Balakrishnan, (2022). Ordering results for smallest claim amounts from two portfolios of risks with dependent heterogeneous exponentiated location-scale claims. Probability in the Engineering and Informational Sciences, 36(4): 1116 - 1137, DOI: 10.1017/S0269964821000280 . (Link)
5. Sangita Das, Suchandan Kayal, (2021). Ordering results between the largest claims arising from two general heterogeneous portfolios. Filomat, 35(4); 1315 - 1332, DOI:10.2298/FIL2104315D . (Link)
4. Sangita Das, Suchandan Kayal, Narayanaswamy Balakrishnan, (2021). Orderings of the smallest claim amounts from exponentiated location-scale models. Methodology and Computing in Applied Probability, 23(3); 971 - 999, DOI: 10.1007/s11009-020-09793-y (Link)
3. Sangita Das, Suchandan Kayal, Debajyoti Choudhuri, (2021). Ordering results on extremes of exponential location-scale models. Probability in the Engineering and Informational Sciences, 35(2); 331 - 354, DOI: 10.1017/S0269964819000408 . (Link)
2. Sangita Das, Suchandan Kayal, (2021). Some ordering results for the Marshall and Olkin’s family of distributions. Communications in Mathematics and Statistics, 9(2); 153 - 179, DOI: 10.1007/s40304-019-00191-6 . (Link)
1. Sangita Das, Suchandan Kayal, (2020). Ordering extremes of exponentiated location-scale models with dependent and heterogeneous random samples. Metrika, 83(8); 869 - 893, DOI: 10.1007/s00184-019-00753-2 .(Link)
1. Ordering results between the random extremes and the aggregate claim amounts, and their application in reliability theory and insurance analysis, ANRF NPDF, 2024-2026.
