VINAY KUMAR YADAV

About

Vinay Kumar Yadav, Ph.D., is an academician specializing in survey sampling, robust regression, and applied statistics. With a strong academic background, including a Ph.D. from NIT Arunachal Pradesh and an M.Sc. from BHU, he is skilled in statistical programming (R, SAS, Python). Vinay's research focuses on real-world challenges such as predicting air pollution and optimizing crop yields. Committed to using statistics for positive global impact, he actively seeks opportunities to apply his expertise and drive meaningful change.

Employment

• M S Ramaiah University of Applied Sciences Assistant Professor
  2024 - Present
• Brainware University Assistant Professor
  2024 - Present
• National Institute of Technology Arunachal Pradesh Teaching Assistant (Research scholar)
  2020 - 2034

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• A robust calibration-based estimator in presence of non-sensitive and sensitive variables using moments in sample surveys
  Hacettepe Journal of Mathematics and Statistics 2026 DOI: 10.15672/hujms.1687321
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• Generalized factor-type exponential estimators of population mean in sample surveys
  Boletim da Sociedade Paranaense de Matemática 2025 DOI: 10.5269/bspm.66504
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• Some new efficient linear regression ratio type estimators for estimating the population mean in sampling theory
  Boletim da Sociedade Paranaense de Matemática 2025 DOI: 10.5269/bspm.68413
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• Neutrosophic Estimators for Estimating the Population Mean in Survey Sampling
  Measurement: Interdisciplinary Research and Perspectives 2024 DOI: 10.1080/15366367.2023.2267835
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• Generalized class of factor type exponential imputation techniques for population mean using simulation approach
  Journal of Statistical Computation and Simulation 2024 DOI: 10.1080/00949655.2024.2310699
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• An efficient Hartley–Ross type estimators of nonsensitive and sensitive variables using robust regression methods in sample surveys
  Journal of Computational and Applied Mathematics 2024 DOI: 10.1016/j.cam.2023.115645
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• Exponential method of estimation in sampling theory under robust quantile regression methods
  Communications in Statistics - Theory and Methods 2024 DOI: 10.1080/03610926.2023.2243529
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• Some efficient ratio-type exponential estimators using the Robust regression’s Huber M-estimation function
  Communications for Statistical Applications and Methods 2024 DOI: 10.29220/CSAM.2024.31.3.291
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• A simulation based optimization of factor-type exponential estimators in sample surveys with coefficients of variation and kurtosis
  Franklin Open 2023 DOI: 10.1016/j.fraope.2023.100050
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• Imputation of Missing Data Through Product Type Exponential Methods in Sampling Theory
  Revista Colombiana de Estadística 2023
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