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Faculty details

Prof.Nabakumar Jana

Designation: Associate Professor

Department: Mathematics & Computing

Email: nabakumarjana[at]iitism[dot]ac[dot]in

Contact Number:

Office Number: +91-326-223-5460

Personal Page: Under Construction

Research Interest: Statistical Inference, Classification Problem, Reliability Estimation

Teaching

MCD516 Industrial Statistics

NMCC513 Probability and Statisics

MCC505 Probability and Statistics

Academics

Ph.D., 2016, Indian Institute of Technology Kharagpur
M.Sc., 2011, Indian Institute of Technology Kharagpur
B.Sc. (Honours), 2009, Kharagpur College, Vidyasagar University

Position

Associate Professor, Department of Mathematics and Computing, Indian Institute of Technology (ISM) Dhanbad (12.07.2024 - )
Assistant Professor, Department of Mathematics and Computing, Indian Institute of Technology (ISM) Dhanbad (25.10.2017 to 11.07.2024)
Assistant Professor, Department of Mathematics, National Institute of Technology Meghalaya (27.08.2015 to 24.10.2017)
Visiting Scientist, ISRU, Indian Statistical Institute Kolkata (June 01-July 31, 2017)

Awards and Honors

Best Ph.D. Thesis Award in Statistics, 2016-Indian Society for Probability and Statistics (ISPS)
Prof. R. S. Varma Best Paper Award, IMSCT 2014-FIM XXIII
Gold Medal from Vidyasagar University for 1st rank, 2009
Principal Sripati De Merit Medal from Kharagpur College
Beni Madhab De & Parul Bala De Merit Medal from Kharagpur College
Gold Medal from Vidyasagar Vidyapith, Midnapur

Publications

List Of Research Publications (only in Peer-reviewed Journals)

Jana, N., & Gautam, M. (2025). Testing the homogeneity of mean parameters in two independent zero-adjusted inverse gaussian distributions. Journal of Statistical Computation and Simulation, 1–26.
Chakraborty, A., & Jana, N. (2024). Bayes estimation of ratio of scale-like parameters for inverse gaussian distributions and applications to classification. Computational Statistics, 1–22.
Jana, N., & Bera, S. (2024). Estimation of multicomponent system reliability for inverse weibull distribution using survival signature. Statistical Papers, doi:10.1007/s00362-024-01588-4, 1–32.
Bera, S., & Jana, N. (2023). Estimating reliability parameters for inverse gaussian distributions under complete and progressively type-II censored samples. Quality Technology & Quantitative Management, 20(3), 334–359.
Jana, N., & Chakraborty, A. (2023). Estimating error rate of classification into several normal populations under equal mean restriction. Communications in Statistics-Simulation and Computation, 1–24.
Bera, S., & Jana, N. (2022). On estimating common mean of several inverse Gaussian distributions. Metrika, 85(1), 115–139.
Dey, S., & Jana, N. (2022). Inference on parameters of watson distributions and application to classification of observations. Journal of Computational and Applied Mathematics, 403, 1138–47.
Jana, N., & Bera, S. (2022a). Estimation of parameters of inverse Weibull distribution and application to multi-component stress-strength model. Journal of Applied Statistics, 49(1), 169–194.
Jana, N., & Bera, S. (2022b). Interval estimation of multicomponent stress–strength reliability based on inverse Weibull distribution. Mathematics and Computers in Simulation, 191, 95–119.
Jana, N., & Chakraborty, A. (2022). Estimation of ordered restricted standard deviations of the normal populations with a common mean. Statistics, 56(4), 867–890.
Jana, N., & Dey, S. (2022). Estimating parameters of mixtures of multivariate t-populations and application to classification of observations. Journal of Computational and Applied Mathematics, 416, 114541.
Jana, N., & Gautam, M. (2022a). Confidence intervals of difference and ratio of means for zero-adjusted inverse gaussian distributions. Communications in Statistics-Simulation and Computation, 1–22.
Jana, N., & Gautam, M. (2022b). Interval estimation of the common mean and difference of medians for a bivariate lognormal distribution. Journal of Statistical Computation and Simulation, 95(15), 3249–3274.
Jana, N., & Dey, S. (2021). Classification of observations into von Mises-Fisher populations with unknown parameters. Communications in Statistics-Simulation and Computation, 1–22.
Jana, N., Kumar, S., Chatterjee, K., & Kundu, P. (2021). Estimating stress-strength reliability for exponential distributions with different location and scale parameters. International Journal of Advances in Engineering Sciences and Applied Mathematics, 13(2), 177–190.
Kundu, P., Jana, N., Kumar, S., & Chatterjee, K. (2020). Stress-strength reliability estimation for exponentially distributed system with common minimum guarantee time. Communications in Statistics-Theory and Methods, 49(14), 3375–3396.
Jana, N., & Kumar, S. (2019). Ordered classification rules for inverse Gaussian populations with unknown parameters. Journal of Statistical Computation and Simulation, 89(14), 2597–2620.
Jana, N., Kumar, S., & Chatterjee, K. (2019). Inference on stress–strength reliability for exponential distributions with a common scale parameter. Journal of Applied Statistics, 46(16), 3008–3031.
Jana, N., & Kumar, S. (2017). Classification into two normal populations with a common mean and unequal variances. Communications in Statistics-Simulation and Computation, 46(1), 546–558.
Qin, H., Jana, N., Kumar, S., & Chatterjee, K. (2017). Stress–strength models with more than two states under exponential distribution. Communications in Statistics-Theory and Methods, 46(1), 120–132.
Jana, N., & Kumar, S. (2016). Classification into two-parameter exponential populations with a common guarantee time. American Journal of Mathematical and Management Sciences, 35(1), 36–54.
Jana, N., Kumar, S., & Chatterjee, K. (2016). Bayes estimation for exponential distributions with common location parameter and applications to multi-state reliability models. Journal of Applied Statistics, 43(15), 2697–2712.
Jana, N., Kumar, S., & Misra, N. (2016). Classification rules for two parameter exponential populations under order restrictions on parameters. Journal of Statistical Computation and Simulation, 86(8), 1559–1581.
Jana, N., & Kumar, S. (2015). Estimation of ordered scale parameters of two exponential distributions with a common guarantee time. Mathematical Methods of Statistics, 24(2), 122–134.

Papers in conference abstract volumes / presented

Basu, S., Jana, N., Krishna, V., Mahadevappa, M., Mukherjee, J., Guha, R., & Kumar, S. (2021). Statistical analysis of emotional response through physiological signals. In Proceedings of the International Conference on Computing and Communication Systems: I3cs 2020, NEHU, Shillong, India (Vol. 170, p. 189). Springer.
Basu, S., Jana, N., Bag, A., Mahadevappa, M., Mukherjee, J., Kumar, S., & Guha, R. (2015). Emotion recognition based on physiological signals using valence-arousal model. In 2015 Third International Conference on Image Information Processing (ICIIP) (pp. 50–55). IEEE.
Jana, N., Kumar, S., & Misra, N. (2014). Classification rules for exponential populations under order restrictions on parameters. In Mathematics and computing 2013 (pp. 243–250). Springer.