Amulya Kumar Mahto
Assistant Professor
Dr. Amulya Kumar Mahto has completed his PhD in Statistics from Indian Institute of Technology Patna, India in April, 2021. Prior to his PhD, he did his MTech (Mathematics and Computing) from Indian Institute of Technology Patna, India in 2015 and MSc (Mathematics and Computing) from Indian Institute of Technology (Indian School of Mines) Dhanbad, India in 2012. His research interests include Statistical Inferences and Data Science. He has been an excellent researcher who has published 10 journal articles of international repute. Besides his research, he has almost two years of teaching experience, which include teaching of Probability and Statistics, Statistical Inferences, R programming, Python programming, Graph Theory, Mathematics I &II etc. He has also attended and presented in many national and international workshop and conferences.
Profile Links
Email :
[email protected]
Scopus Id :
57217054505
Google Scholar :
https://scholar.google.com/citations?user=oI8BVh4AAAAJ&hl=en&oi=ao
Social Links
PhD
Awards & Honours
Qualified GATE(MA) 2012
Memberships
Art of Giving
1. Mahto, A. K., Lodhi, C., Tripathi, Y. M., & Wang, L. (2022). On partially observed competing risks model under generalized progressive hybrid censoring for Lomax distribution. Accepted for publication in Quality Technology and Quantitative Management.
2. Mahto, A. K., Tripathi, Y. M., Sultana, F., & Rastogi, M. K. (2022). Statistical inference for a Gumbel type-II distribution under hybrid censoring. Journal of Statistical Computation and Simulation, 1-27.
3. Mahto, A. K., Lodhi, C., Tripathi, Y. M., & Wang, L. (2021), Inference for partially observed competing risks model for Kumaraswamy distribution under generalized progressive hybrid censoring." Journal of Applied Statistics, 1-29.
4. Tripathi, Y. M., Petropoulos, C. & Mahto, A. K. (2021). Estimating the scale parameter of an exponential distribution under progressive type-II censoring." Communication in Statistics: Theory and Methods, 1-18.
5. Mahto, A. K., Tripathi, Y. M. & Wu, S. J. (2020). Statistical inference based on progressively type-II censored data from the Burr X distribution under progressive stress accelerated life test." Journal of Statistical Computation and Simulation, 91(2), 368-382.
6. Mahto, A. K., Dey, S., & Tripathi, Y. M. (2019). Statistical inference on progressive-stress accelerated life testing for the logistic exponential distribution under progressive type-II censoring." Quality and Reliability Engineering International, 36(1), 112-124.
7. Mahto, A. K., & Tripathi, Y. M. (2020). Estimation of reliability in a multicomponent stress-strength model for inverted exponentiated Rayleigh distribution under progressive censoring." OPSEARCH, 57, 1043-1069.
8. Mahto, A. K., Tripathi, Y. M. & Kizilaslan, F. (2020). Estimation of reliability in a multicomponent stress-strength model for a general class of inverted exponentiated distributions under progressive censoring." Journal of Statistical Theory and Practice, Vol 14, no. 4, Article 58.
9. Mahto, A. K., Tripathi, Y. M., & Dey, S. (2018). Estimation of density and distribution functions of a Burr X distribution." Journal of Statistical Research, Vol. 52, No. 1, pp. 43-59.
10. Tripathi, Y. M., Mahto, A. K., & Dey, S. (2017). Efficient Estimation of the PDF and the CDF of a Generalized Logistic Distribution." Annals of Data Science, 4(1), 63-81.