Dr. Sanjay Kumar

Employment

• Central University of Rajasthan Associate Professor
  2011 - Present

Education

• Banaras Hindu University B.A., M. A., Ph.D.
  2002 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (27)

• Generalized memory-type estimators for time-based surveys: simulation experience and empirical results with birth weight dataset
  Life Cycle Reliability and Safety Engineering 2024 DOI: 10.1007/s41872-023-00239-1
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• Robust HEWMA-type estimators for population mean under non-normality
  Life Cycle Reliability and Safety Engineering 2024 DOI: 10.1007/s41872-024-00244-y
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• Utilization of Priori Information in the Estimation of Population Mean for Time-Based Surveys
  Annals of Data Science 2024 DOI: 10.1007/s40745-023-00472-6
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• Robust ratio and product based estimators using known auxiliary information through modified maximum likelihood
  Afrika Matematika 2023 DOI: 10.1007/s13370-023-01127-8
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• Geochemical assessment of groundwater in a desertic region of India using chemometric analysis and entropy water quality index (EWQI)
  Natural Hazards 2022 DOI: 10.1007/s11069-021-05204-8
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• Monitoring Novel Corona Virus (COVID-19) Infections in India by Cluster Analysis
  Annals of Data Science 2020 DOI: 10.1007/s40745-020-00289-7
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• Use of cluster analysis to monitor novel coronavirus-19 infections in Maharashtra, India
  Indian Journal of Medical Sciences 2020 DOI: 10.25259/ijms_68_2020
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• Ratio- and product-based estimators using known coefficient of variation of the auxiliary variable via modified maximum likelihood
  Life Cycle Reliability and Safety Engineering 2019 DOI: 10.1007/s41872-019-00077-0
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• Robust exponential ratio and product type estimators for population mean using order statistics in simple random sampling
  International Journal of Ecological Economics and Statistics, 38(3): 51-70. (Indexed in Scopus), Listed in U.G.C. 2017
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• An improved regression type estimator to estimate population mean under non-normality in simple random sampling
  Journal of Statistics and Management System, 20: 6, 1035-1050. (Taylor & Francis), listed in U.G.C. 2017
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