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Diya Bhattacharyya

Assistant Professor, Department of Mathematics, School of Physical Sciences, Coimbatore

Qualification: BSc, MSc
b_diya@cb.amrita.edu
Google Scholar Profile
Scopus Profile
Research Interest: Sample surveys, Missing data

Bio

Diya Bhattacharyya is currently working as an Assistant Professor at Department of Mathematics,Amrita Vishwa Vidyapeetham,Coimbatore. Her educational background is in Mathematics (B.Sc. and M.Sc.) and Statistics (Ph.D. Thesis submitted). Her area of research is sample surveys. She has several publications in reputed international journals.

Education

  1. B. Sc. (Hons.) in Mathematics from St. Xavier’s College (Autonomous) Kolkata
  2. M. Sc. in Mathematics & Computing from IIT (ISM) Dhanbad
  3. Pursuing Ph.D. (thesis submitted) at IIT (ISM) Dhanbad
Publications

Journal Article

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

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

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

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

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

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

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

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