Specialization

Statistical Inference, Sampling Plan, Record Values,Censored Data

Email

sukhdev.singh@thapar.edu

Contact No.

+91-99340-44777

Designation: Assistant Professor (Contractual-II)

E-mail id: sukhdev.singh@thapar.edu

Biography

Dr. Sukhdev Singh is working as an Assistant Professor with School of Mathematics at Thapar Institute of Engineering and Technology, Patiala. He completed his PhD degree from Indian Institute of Technology Patna, and has research interests including Statistical Inference, Sampling Plans, Record Values in the field of Life Testing and Reliability Analysis. He has published and reviewer in many reputed Journals indexed in WoS and ABDC. More details about Dr. Singh are available on https://sites.google.com/site/sukhdevpersonal/home

Education

• Ph.D. in 2016: Thesis title: A contribution to life testing experiments with lognormal and inverse Weibull distributions
• M. Sc. Mathematics in 2008
• B.Sc. in 2006

Experience: Total Teaching Experience- 5 years, Industrial Experience- 1 year

Teaching Interests:

• Probability and Statistics
• Mathematical Methods in Data Science
• Optimization Techniques

Research Interest:

• Statistical Inference
• Sampling Plan
• Record Values
• Censored Data

Publications:

Journals

1. M. M. Monfared, R. A. Belaghi, M. H. Behzadi, S. Singh: Estimation and prediction based on type-I hybrid censored data from the Poisson-Exponential distribution. Communications in Statistics: Simulation and Computation, Vo. 51 (5), 2560-2585, 2022 [Impact Factor 1.162].
2. S. Singh, S. Dey, D. Kumar: Statistical inference based on generalized Lindley record values. Journal of Applied Statistics, Vol. 47(9), 1543-1561, 2020. [Impact Factor 1.416, ABDC-B indexed].
3. S. Singh, Y. M. Tripathi, S. J. Wu: Bayesian analysis for lognormal distribution under progressive type-II censoring. Hacettepe Journal of Mathematics and Statistics. Vol. 48(5), 1488-1504, 2019. [Impact Factor 0.867].
4. S. Singh, Y. M. Tripathi : Estimating the parameters of an inverse Weibull distribution under progressive type-I interval censoring, Statistical Papers, Vol. 59(1), 21-56, 2018. [Impact Factor 1.523, ABDC-B indexed].
5. S. Singh, Y. M. Tripathi, S. J. Wu: Bayesian estimation and prediction based on lognormal record values, Journal of Applied Statistics, Vol. 44(5), 916-940, 2017. [Impact Factor 1.416, ABDC-B indexed].
6. R. A. Belaghi, M. N. Asl, S. Singh: On estimating the parameters of the Burr XII model under progressive type-I interval censoring, Journal of Statistical Computation and Simulation, Vol. 87(16), 3132-3151, 2017. [Impact Factor 1.225, ABDC-C indexed].
7. S. Singh, Y. M. Tripathi: Bayesian estimation and prediction for a hybrid censored lognormal distribution, IEEE Transactions on Reliability, Vol. 65(2), 782-795, 2016. [Impact Factor 5.883].
8. S. Singh, Y. M. Tripathi: Reliability sampling plans for a lognormal distribution under progressive first-failure censoring with cost constraint, Statistical Papers, Vol. 56(3), 773-817, 2015. [Impact Factor 1.523, ABDC-B indexed].
9. S. Singh, Y. M. Tripathi, S. J. Wu: On estimating parameters of a progressively censored lognormal distribution, Journal of Statistical Computation and Simulation, Vol. 85 (6), 1071-1089, 2015. [Impact Factor 1.225, ABDC-C indexed].

Achievement, Awards and Recognitions