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Dr Shakti Prasad

vidwan id: 139730
Male

Associate Professor, Department of Mathematics
National Institute of Technology Jamshedpur

Expertise

  • Statistics and Probability

Publications

Total Articles 27
Books 0
Proceedings 0

Publications

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Scopus

Citations 128
h-index 6

CrossRef

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Citations 50
h-index 4
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Bio

Sampling Theory, Statistical Inference, Missing Data Analysis, Robust Regression Analysis

Personal Details

  • Male
  • Associate Professor , National Institute of Technology Jamshedpur
  • National Institute of Technology Arunachal Pradesh, Jote
Ph.D
Other Institute 2012
Associate Professor Jan 2024 – Present
National Institute of Technology Jamshedpur | Department of Mathematics
Assistant Professor (Grade-I) Jul 2019 – Jan 2024
National Institute of Technology, Arunachal Pradesh | Department of Basic and Applied Science
Assistant Professor Jan 2016 – Jul 2019
National Institute of Technology, Arunachal Pradesh | Department of Basic and Applied Science

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Co-Authors (3)

Deepak

Dr Deepak Majhi

Veer Kunwar Singh University, Arrah

Garib Nath

Prof Garib Nath Singh

Indian Institute of Technology (Indian School of Mines), Dhanbad

Shakti

Dr Shakti Prasad

National Institute of Technology Jamshedpur

Scholarly Work

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Scholarly Publications

Neutrosophic Estimators in Two-Phase Survey Sampling

Open Access
Article

A simulation based optimization of factor-type exponential estimators in sample surveys with coefficients of variation and kurtosis

Open Access
Article

Imputation of Missing Data Through Product Type Exponential Methods in Sampling Theory

Open Access
Article

Some Compromised Exponential Ratio Type Imputation Methods in Simple Random Sampling

Open Access
Review

Some linear regression type ratio exponential estimators for estimating the population mean based on quartile deviation and deciles

Open Access
Article

Exponential method of imputation for non-response in sample surveys

Open Access
Article

SOME EFFICIENT EXPONENTIAL ESTIMATORS FOR MISSING DATA IN SURVEY SAMPLING

Open Access
Article

A study on new methods of ratio exponential type imputation in sample surveys

Open Access
Article