Chakraborty, N., Balakrishnan, N., & Finkelstein, M. (2023). On precedence tests with doublesampling. Statistics, 57(3), 554-576.
Chakraborty, N., Lui, C. F., & Maged, A. (2023). A distribution-free change-point monitoring scheme in high-dimensional settings with application to industrial image surveillance. Communications in Statistics-Simulation and Computation, https://doi.org/10.1080/03610918.2023.2202371.
Iqbal, A., Mahmood, T., Nazir, H. Z., & Chakraborty, N. (2022). On the improved generalized linear model-based monitoring methods for Poisson distributed processes. Concurrency and Computation: Practice and Experience, 34(11), e6889.
Finkelstein, M., Cha, J. H., & Chackraborty, N. (2022). Balancing load and performance for different failure models. Applied Stochastic Models in Business and Industry, 38(2), 323-333.
Chakraborty, N., & Mahmood, T. (2021). Failure rate monitoring in generalized gamma-distributed process. Quality Technology & Quantitative Management, 18(6), 718-739.
Chakraborty, N., Human, S. W., Balakrishnan, N. (2018). A Generally Weighted Moving Average Exceedance Chart. Journal of Statistical Computation and Simulation, 88(9), 1759-1781.
Chakraborty, N., Human, S. W., Balakrishnan, N. (2017). A Generally Weighted Moving Average Chart for Time Between Events. Communications in Statistics-Simulation and Computation, 46(10), 7790-7817.
Chakraborty, N., Chakraborti, S., Human, S. W., Balakrishnan, N. (2016). A generally weighted moving average signed-rank control chart. Quality and Reliability Engineering International, 32(8), 2835-2845.
Statistical process control; Nonparametric inference; Reliability and life-testing