Mahesh Kumar Pandey

Employment

• Indian Institute of Technology Dhanbad Research Scholar
  2021 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Robust Imputation for Population Mean Estimation with Outliers
  Franklin Open 2026 DOI: 10.1016/j.fraope.2026.100550
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• Quantile regression-ratio-type estimator of population mean in stratified successive sampling using calibrated weights
  Mathematical Population Studies 2025 DOI: 10.1080/08898480.2025.2536773
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• Estimation of population mean using generalized exponential-type imputation with measurement errors in sample surveys
  Quality & Quantity 2025 DOI: 10.1007/s11135-025-02277-6
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• Estimation of Population Mean Using Some Improved Imputation Methods for Missing Data in Sample Surveys
  Communications in Statistics - Theory and Methods 2025 DOI: 10.1080/03610926.2024.2369314
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• Estimation of Population Mean Using Calibrated Weights in Stratified Random Successive Sampling in Presence of Incomplete Data
  Journal of Mathematics 2025 DOI: 10.1155/jom/6778010
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• Improved Estimation Procedure for Population Coefficient of Variation Using Calibrated Weights under Stratified Successive Sampling in the Presence of Non-Response and Measurement Errors
  Scientia Iranica 2024
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• Estimation of Population Mean Using Exponential Ratio and Product Type Estimators Under Ranked Set Sampling in Presence of Measurement Error
  Journal of Statistical Theory and Practice 2024 DOI: 10.1007/s42519-024-00378-3
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• Optimizing population mean estimation using regression and factor type estimators in the presence of non-response
  Franklin Open 2024 DOI: 10.1016/j.fraope.2024.100096
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• Improved estimation of population variance in stratified successive sampling using calibrated weights under non-response
  Heliyon 2024 DOI: 10.1016/j.heliyon.2024.e27738
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• A general class of improved population variance estimators under non-sampling errors using calibrated weights in stratified sampling
  Scientific Reports 2024 DOI: 10.1038/s41598-023-47234-1
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