Statistics - Placement

Prof. (Dr.) Manisha Pal

Area of Interest:

• Operations Research
• Reliability Inference
• Design of Mixture Experiments
• Sequential Estimation

Publications:

• No. of Papers published in International Journals: 88
• No. of Papers published in National Journals: 43
• No. of Book Chapters: 3
• No. of books/monographs : 2

Some Recent Journal Publications:

• Manisha Pal (2024): Optimum Designs for Optimum Mixtures: An Informative Review. International Journal of Statistical Sciences, Vol. 24, Issue 1, pp. 1-14.
• S.P. Mukherjee, Manisha Pal (2024): A Note On Analysis Of Dynamic Data. IAPQR Transactions, Vol. 48, Issue 1-2.
• P. Sultana, Manisha Pal, Bikas K. Sinha (2023): Exact Inference in a Tetranomial Distribution. Sequential Analysis, Vol. 42, Issue 1, pp. 1-16.
• Manisha Pal (2022): A Note on Estimation of Stress-Strength Reliability under Generalized Uniform Distribution when Strength Stochastically Dominates Stress. Statistica, Vol. 82, No. 1, pp. 57-70.
• Kuntal Bakuli, Manisha Pal (2022): A Two-Server Bulk Service Queuing Model with a Permanent Server and a Temporary Server on Hold. Thailand Statistician, Vol. 20, No. 3, pp. 634-654.
• Manisha Pal, N.K. Mandal, H.K. Maity (2021): D-optimal Design for Estimation of Optimum Mixture in a Three-Component Mixture Experiment with Two Responses. Communications in Statistics - Simulation and Computation, published online 15 March, 2021. https://doi.org/10.1080/03610918.2021.1897619.
• Manisha Pal, Montip Tiensuwan (2020): Inference on Stress-Strength Reliability of a System with Two Independent Stresses under Generalized Uniform Distribution. Statistics and Applications, Vol. 18, No. 2 (Special volume), pp. 287-298.
• P. Tusto, M. Tiensuwan, Manisha Pal (2020): Optimum Mixture Designs for Binomial Two-Parameter Log-Logistic (LL2) Model with Mixture of Two Similar Compounds. Austrian Journal of Statistics, Vol. 49, No. 1, pp. 24-32. https://doi.org/10.17713/ajs.v49i1.850.
• Manisha Pal, N.K. Mandal (2018): Optimum Mixture Designs for Log-Logistic Dose-Response Model with Mixture of Two Similar Compounds. Communications in Statistics – Simulation and Computation, Vol. 47, No. 3, pp. 800-808. https://doi.org/10.1080/03610918.2017.1291965.
• Manisha Pal, N.K. Mandal, M.L. Aggarwal (2017): A-optimal Designs for Optimum Mixture in an Additive Quadratic Mixture Model. Statistics, Vol. 51, Issue 2, pp. 265-276.
• N.K. Mandal, Manisha Pal, B.K. Sinha, P. Das (2015): Optimum Mixture Designs in a Restricted Region. Statistical Papers, Vol. 56, Issue 1, pp. 105-119.

Recent Book published:

• Selected Topics in Statistical Inference - Theory and Applications - Manisha Pal and Bikas K. Sinha (2024), Springer.

Dr. Utpal Pore

Research Interests:

• Number Theory.
• Ramanujan’s Notebooks.
• q-series.
• Partition Theory.
• Theory of Modular Forms.

Publications:

• No. of Papers published in International Journals: 5
• No. of Papers published in International Conference Proceedings: 1

Article published in Peer-reviewed UGC Approved/Scopus Indexed Journals

S.N. Fathima and Utpal Pore, Some congruences for partition functions related to mock theta functions ω(q) and υ (q), New Zealand Journal of Mathematics, 47 (2017), 161-168.

Utpal Pore and S.N. Fathima, Some congruences modulo 2, 8 and 12 for Andrews' singular overpartitions, Note di Matematica 38 (2018) no. 1, 101—114.

Utpal Pore, S.N. Fathima, Some Congruences for Andrews’ Partition Function EO(n), Kyungpook Mathematical Journal, 61(1) (2021), 49–59.

S.N. Fathima and Utpal Pore, Some infinite families of congruences for t-core partition functions, Acta Mathematica Hungarica, 170 (1) (2023), 351-366.

S.N. Fathima, Utpal Pore, M. A. Sriraj and P. Siva Kota Reddy, New Congruences for 2-Color Partitions and t-Core Partitions, Boletim da Sociedade Paranaense de Matemática, 43 (2025), 1-9

Conference Article:

• Utpal Pore, S.N. Fathima, Modular forms and its application, The 7th Mediterranean International Conference of Pure & Applied Mathematics and Related Areas (2025),332-240, ISBN: 978-625-00-1131-7

Dr. Priyanka Talukdar

Research Interests:

• Cricket Analytics.
• Actuarial Statistics.

Publications:

• No. of Papers published in International Journals: 5

Some Recent Publications:

• Talukdar, P.(2024). Application of Statistics in Sports Analytics: Analysis of Death Bowling in Limited Overs Cricket. To be Submitted at the Proceedings of the ‘Emerging Trends of Statistical Sciences in Artificial Intelligence and Its Applications (ETSSAA 2024), 26th Annual Silver Conference of the Society of Statistics, Computer and Applications (SSCA).
• Kumar, K.A., Pinto, P. Iqbal ,T.H., Talukdar, P. (2024): Cross-border linkages between the global rubber spot and futures markets, Submitted to the Management and Labour Studies (Sage)
• Talukdar, Priyanka. (2024). Cricket's analytical revolution: Exploring the cutting edge of data-driven insights. IOSR journal of sports and physical education, 11(2), 14-22.
• Talukdar, Priyanka. (2024). Pressure index: A new performance indicator in sports analytics. Swadeshi research foundation a monthly journal of multidisciplinary research, 11(6), 70-75.

Dr. Aniket Biswas

Research Interests:

• Multiple hypotheses testing.
• Statistical distributions and their applications.

Publications:

• No. of Papers published in International Journals: 21

Selected 5 publications:

• Biswas, A. & Chattopadhyay, G. (2024).Estimating the proportion of true null hypotheses and adaptive false discovery rate control in discrete paradigm. Biometrical Journal. https://doi.org/10.1002/bimj.202200204
• Biswas, A. & Chattopadhyay, G. (2023). New results on adaptive false discovery rate control with p-value weighting. Statistical Papers. https://doi.org/10.1007/s00362-022-01369-x
• Biswas, A., Chakraborty, S. & Baruah, V.J. (2022). Estimation of the proportion of true null hypotheses under sparse dependence: Adaptive FDR controlling in microarray data. Statistical Methods in Medical Research. https://doi.org/10.1177/09622802221074164
• Biswas, A., Chattopadhyay, G. & Chatterjee, A. (2022). Bias corrected estimators for proportion of true null hypotheses under exponential model: application of adaptive FDR-controlling in segmented failure data. Journal of Applied Statistics. https://doi.org/10.1080/02664763.2021.1957790
• Biswas, A., Chakraborty, S., & Mukherjee, M. (2021). On estimation of stress-strength reliability with log-Lindley distribution. Journal of Statistical Computation and Simulation. https://doi.org/10.1080/00949655.2020.1807549