Year : 2023
Robust estimation strategy for handling outliers
Cite this Research Publication : Singh, G. N., Bhattacharyya, D., & Bandyopadhyay, A. (2023). Robust estimation strategy for handling outliers, Communications in Statistics - Theory and Methods. DOI: https://doi.org/10.1080/03610926.2023.2218567 (SCI)
Publisher : Communications in Statistics - Theory and Methods
Year : 2022
Formulation of logarithmic type estimators to estimate population mean in successive sampling in presence of random non response and measurement errors
Cite this Research Publication : Singh, G. N., Bhattacharyya, D., & Bandyopadhyay, A. (2022). Formulation of logarithmic type estimators to estimate population mean in successive sampling in presence of random non response and measurement errors. Communications in Statistics-Simulation and Computation, 51:3, 901-923. DOI-https://doi.org/10.1080/03610918.2019.1659364 (SCI)
Publisher : Communications in Statistics-Simulation and Computation
Year : 2021
An Exponential-Cum-Sine-Type Hybrid Imputation Technique for Missing Data
Cite this Research Publication : Bhattacharyya, D., Singh, G. N., Jawa, T. M., Sayed-Ahmed, N., & Pandey, A. K. (2021). An Exponential-Cum-Sine-Type Hybrid Imputation Technique for Missing Data, Computational Intelligence and Neuroscience, DOI: https://doi.org/10.1155/2021/4845569
Publisher : Computational Intelligence and Neuroscience
Year : 2021
Some Classes of Logarithmic-Type Imputation Techniques for Handling Missing Data
Cite this Research Publication : Pandey, A. K., Singh, G. N., Bhattacharyya, D., Ali, A.Q., Al-Thubaiti, S. Yakout, H. A. (2021) Some Classes of Logarithmic-Type Imputation Techniques for Handling Missing Data, Computational Intelligence and Neuroscience, DOI: https://doi.org/10.1155/2021/8593261
Publisher : Computational Intelligence and Neuroscience
Year : 2021
Study of a Memory Type Shrinkage Estimator of Population Mean in Quality Control Process
Cite this Research Publication : Singh, G. N., Bhattacharyya, D., Bandyopadhyay, A., & Khalid, M. (2021). Study of a Memory Type Shrinkage Estimator of Population Mean in Quality Control Process, IEEE Access, Vol. 9, pp. 161555-161564, DOI: https://doi.org/10.1109/ACCESS.2021.3132686 (SCI)
Publisher : IEEE Access
Year : 2021
Some logarithmic and sine-type imputation techniques for missing data in survey sampling in the presence of measurement errors
Cite this Research Publication : Singh, G. N., Bhattacharyya, D., & Bandyopadhyay, A. (2021). Some logarithmic and sine-type imputation techniques for missing data in survey sampling in the presence of measurement errors, Journal of Statistical Computation and Simulation, 91:4, 713-731. DOI: https://doi.org/10.1080/00949655.2020.1828414 (SCI)
Publisher : Journal of Statistical Computation and Simulation
Year : 2021
A new randomized response technique with application to election polling
Cite this Research Publication : Singh, G. N., Bhattacharyya, D., & Bandyopadhyay, A. (2021). A new randomized response technique with application to election polling, Communications in Statistics - Simulation and Computation, DOI: https://doi.org/10.1080/03610918.2021.2008438 (SCI)
Publisher : Communications in Statistics - Simulation and Computation
Year : 2021
Calibration estimation of population variance under stratified successive sampling in presence of random non response
Cite this Research Publication : Singh, G. N., Bhattacharyya, D., & Bandyopadhyay, A. (2021). Calibration estimation of population variance under stratified successive sampling in presence of random non response, Communications in Statistics - Theory and Methods, 50:19, 4487-4509. DOI: https://doi.org/10.1080/03610926.2020.1719158 (SCI)
Publisher : Communications in Statistics - Theory and Methods
Year : 2020
A general class of calibration estimators under stratified random sampling in presence of various kinds of non-sampling errors
Cite this Research Publication : Singh, G. N., Bhattacharyya, D., & Bandyopadhyay, A. (2020). A general class of calibration estimators under stratified random sampling in presence of various kinds of non-sampling errors, Communications in Statistics - Simulation and Computation. DOI: https://doi.org/10.1080/03610918.2020.1855447 (SCI)
Publisher : Communications in Statistics - Simulation and Computation