Awadhesh K. Pandey

About

I hold a PhD in Statistics from the prestigious Indian Institute of Technology (IIT) Dhanbad and currently serve as an Assistant Professor of Decision Science at Jindal School of Banking & Finance, O.P. Jindal Global University (an Institute of Eminence), Sonipat, India.

With over 9 years of experience in teaching and research, I am a dedicated academician passionate about imparting knowledge and advancing the field.

My teaching interests span a broad range of subjects, including Quantitative Techniques, Operations Research, Business Statistics, Applied Statistics, Business Mathematics, Business Research Methods, Research Methodology, and Report Writing. I possess strong working proficiency in analytical tools such as R, MATLAB, MS Excel, and SPSS.

I am always open to connecting with fellow academicians and researchers across the globe for collaborative projects and scholarly initiatives. Feel free to reach out to me at [email protected]

Employment

• O. P. Jindal Global University Assistant Professor (Decision Science Area)
  2024 - Present
• University of Petroleum and Energy Studies Assistant Professor
  2022 - 2024
• DIT University Assistant Professor
  2021 - 2022
• Indian Institute of Technology (Indian School of Mines), Dhanbad Ph.D. Applied Statistics
  2016 - 2021

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• Estimating the Distribution Function of Finite Population Using Auxiliary Information
  SN Computer Science 2025 DOI: 10.1007/s42979-025-03947-w
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• Efficient and alternative approaches for imputing missing data to estimate population mean
  Quality & Quantity 2024 DOI: 10.1007/s11135-024-01914-w
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• Improved procedures for mean estimation under non-response
  Alexandria Engineering Journal 2022 DOI: 10.1016/j.aej.2022.06.031
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• Improved imputation methods for missing data in two-occasion successive sampling
  Communications in Statistics - Theory and Methods 2021 DOI: 10.1080/03610926.2021.1944211
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• An Exponential‐Cum‐Sine‐Type Hybrid Imputation Technique for Missing Data
  Computational Intelligence and Neuroscience 2021 DOI: 10.1155/2021/4845569
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• Some Classes of Logarithmic‐Type Imputation Techniques for Handling Missing Data
  Computational Intelligence and Neuroscience 2021 DOI: 10.1155/2021/8593261
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• Improved estimators for mean estimation in presence of missing information
  Alexandria Engineering Journal 2021 DOI: 10.1016/j.aej.2021.04.053
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• Optimality of ratio and regression type estimators using dual of auxiliary variable under non response
  Alexandria Engineering Journal 2021 DOI: 10.1016/j.aej.2021.03.031
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• Generalized Estimation Procedure in Two-Occasion Rotation Patterns
  Proceedings of the National Academy of Sciences, India Section A: Physical Sciences 2020 DOI: 10.1007/s40010-020-00710-z
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• An improved alternative estimation procedure for current population mean in presence of positively and negatively correlated auxiliary variables in two-occasion rotation patterns
  Communications in Statistics - Theory and Methods 2020 DOI: 10.1080/03610926.2019.1586932
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