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Publications
1. Ray, K., Chatterjee, K., and others (2024) Ecological restoration at pilot-scale employing site-specific rationales for small-patch degraded mangroves in Indian Sundarbans. Scientific Reports, a Nature Research journal, Scientific Reports, a Nature Research journal, 12952 (2024).
DOI: https://doi.org/10.1038/s41598-024-63281-8
2. Chatterjee, K. and Bhuiyaan, P. (2023) Estimation of Population Size with Heterogeneous Catchability and Behavioural Dependence: Applications to Air and Water Borne Disease Surveillance. Journal of Royal Statistical Society, Series A (Royal Statistical Society), 187, 110-131.
DOI: http://dx.doi.org/10.1093/jrsssa/qnad084
3. Chatterjee, K. and Mukherjee, D. (2021) On the estimation of population size under dependent dual- record system: an adjusted profile-likelihood approach, Journal of Statistical Computation and Simulation, Published online on 22 April, 2021. DOI: https://doi.org/10.1080/00949655.2021.1908284
4. Begam, M., Chowdhury, R., Sutradhar, T., Mukherjee, C., Chatterjee, K., Basak, S. K. and Ray, K.
(2020) Forecasting mangrove ecosystem degradation utilizing quantifiable eco-physiological resilience - A study from Indian Sundarbans. Scientific Reports, a Nature Research journal, 6683 (2020).
DOI: https://doi.org/10.1038/s41598-020-63586-4
5. Chatterjee, K. and Bhuiyaan, P. (2020) On the Estimation of Population Size from a Post-stratified Two Sample Capture-recapture Data under Dependence. Journal of Statistical Computation and Simulation (Taylor & Francis), 90, 819-838. DOI:. https://doi.org/10.1080/00949655.2019.1707832
6. Chatterjee, K. and Mukherjee, D. (2020) Identifying the direction of behavioural dependence in two- sample capture-recapture study. Journal of Official Statistics (Statistics Sweden), 36, 25-48. DOI: http://dx.doi.org/10.2478/JOS-2020-0002
7. Chowdhury, R., Sutradhar, T., Begam, M., Mukherjee, C., Chatterjee, K., Basak, S. K. and Ray, K. (2019). Effects of nutrient limitation, salinity increase and associated stressors on mangrove forest cover, structure and zonation across Indian Sundarbans. Hydrobiologia, the international journal of Aquatic Sciences (Springer), 842, 191–217. DOI: http://dx.doi.org/10.1007/s10750-019-04036-9
8. Chatterjee, K. and Bhuiyaan, P. (2019) On the estimation of population size from a dependent triple record system. Journal of Royal Statistical Society, Series A (Royal Statistical Society), 182, 1487-1501
DOI: http://dx.doi.org/10.1111/rssa.12472
9. Chatterjee, K. and Mukherjee, D. (2018). A new integrated likelihood for estimating population size in dependent dual-record system. Canadian Journal of Statistics (Wiley), 46, 577-592.
DOI: http://dx.doi.org/10.1002/cjs.11477
10. Pal, S. K., Singh, H.P., Kumar, S. and Chatterjee, K. (2018). A family of efficient estimators of the finite population mean in simple random sampling. Journal of Statistical Computation and Simulation (Taylor & Francis), 88, 920-934. DOI: http://dx.doi.org/10.1080/00949655.2017.1408808
11. Chatterjee, K. and Mukherjee, D. (2016). On the estimation of homogeneous population size from a complex dual-record system. Journal of Statistical Computation and Simulation (Taylor & Francis), 86, 3562-3581. DOI: http://dx.doi.org/10.1080/00949655.2016.1173695
12. Chatterjee, K. and Mukherjee, D. (2016). An improved integrated likelihood population size estimation in dual-record system. Statistics & Probability Letters (Elsevier), 110, 146-154.
DOI: http://dx.doi.org/10.1016/j.spl.2015.12.019
13. Chatterjee, K. and Mukherjee, D. (2016). An improved estimator of omission rate for census count: with particular reference to India. Communications in Statistics - Theory and Methods (Taylor & Francis), 45, 1047-1062.
DOI: http://dx.doi.org/10.1080/03610926.2013.854911
14. Kumar, S. and Chatterjee, K. (2015). A simulation study for unit non-response under double sampling. Journal of Statistics Applications and Probability Letters (Natural Sciences), 2, 1-14.
DOI: http://dx.doi.org/10.12785/jsapl/020104
Research Interests :
1. Capture-recapture Modeling
2. Estimation of hard-to-count population size
3. Statistical Computations
Papers Communicated (arXiv Links) :
1. https://arxiv.org/abs/2208.11992
2. https://arxiv.org/abs/2105.08679
Research Interests
– Capture-Recapture or multiple capture modelling
– Census undercount (or coverage) estimation
– Estimation of the size of hard-to-count population or event
– Statistical computations
Top Collaborators
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Diganta Mukherjee, Sampling and Official Statistics Unit, Indian Statistical Institute, Kolkata, India. Email: diganta@isical.ac.in
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Prajamitra Bhuyan, Department of Mathematics, Imperial College London, UK. Email: bhuyan.prajamitra@gmail.com
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Krishna Ray, Departments of Botany, West Bengal State University, Barasat, India. Email: kray91@gmail.com
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Sunil Kumar, Departments of Statistics, University of Jammu, India. Email: sunilbhougal06@gmail.com
Articles in News:
– How bio-restoration is helping revive degraded mangroves in Sunderbans
@ The Hindu; Sept. 17, 2019.,
@ India Science Wire, Sept. 1, 2019.






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