Dr Arnab Bandyopadhyay
Associate Professor
| Department of Basic Science and Humanities
Dr. B. C. Roy Engineering College, Durgapur 120
West Bengal
Expertise:
Mathematics
46
Publications
2
Projects
107
Scopus Citations
95
CrossRef
17 Years 10 Months Total Experience
Scopus
107
Citations
6
h-index
CrossRef
95
Citations
6
h-index
Google Scholar
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Professional Recognition
Jis Samman for heighest number of publications (Institute level
2021
Jis Group
JIS Samman for Highest Research Credential (Institute Level
2022
Jis Group
Jis Samman for heighest number of publications (Institute level
2022
Jis Group
Community & Membership
Editorial Board Member- Journal of Mathematics, Statistics and Operations Research (ISSN:
Editor Board MemberEditorial Board Member-Journal of Statistics and Mathematical Engineering, International J
Editor Board MemberEditorial Board Member-International Journal of Modern Sciences and Engineering Technology
Editor Board MemberEditorial Board Member-Current Indian Science
Section EditorIndian Statistical Institute
Life MemberPersonal Details
Doctor of Philosophy
2015
N/A
Master of Arts
2007
N/A
Associate Professor
Jul 2024 – Present
Dr. B. C. Roy Engineering College, Durgapur 120
| Department of Basic Science and Humanities
Assistant Professor
Sep 2008 – Apr 2024
Asansol Engineering College 108
| Department of Basic Science and Humanities
Physical Sciences
Scholarly Work
Development of Estimation Procedures in Presence of Various Types of Non-Sampling Errors in Sample Surveys
CompletedDevelopment of Effective Estimation Strategies for Socio Economic, Agriculture and Health Care Parameters in Presence of Non – Response Situations and their Applications in Real Life Problems in India
CompletedOn the use of auxiliary information in estimation of finite population parameters in sample surveys
Some methods of using auxiliary information for estimation of population parameters in sample surveys
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Scholarly Publications
Variance estimation in the presence of scrambled response using ranked set sampling
Estimation of Population Mean in Successive Sampling in Presence of Random Non-Response Situations Using Type-II Fuzzy Tools
New Scrambled Response Model for Estimation of Population Mean of a Sensitive Characteristic Under Stratified Ranked Set Sampling
Estimation of Mean in Two-Staged Unequally Clustered Population in Presence of Non-Response Situation
Non-randomized scrambling models for sensitive quantitative attribute using innocuous characteristics
Robust estimation strategy for handling outliers
Some estimation procedures for Covid-19 suspected persons in a locality using randomized response model
A novel bivariate randomized response model using non-sensitive innocuous variable
Showing 1 to 8 of 46 publications