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FACULTY - Department of Statistics

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Mr. Manish Kumar

kumarmann03@gmail.com
Area of Interest Statistics
Qualifications M.A/Ph.D persuing

Brief Profile

Mr. Manish Kumar is presently working as an Assistant Professor and Coordinator in the Department of Statistics, School of Humanities and Social Sciences, Shri Guru Ram Rai University, Dehradun. He has total 8 years of teaching experience having interest in Sampling and Data Analysis in various research and projects. He has presented various papers in national and international Seminars and published papers in journal of international and national reputes. He always likes to follow the words, “Facts are stubborn but statistics are more pliable.”

Assistant Professor

Designation : Assistant Professor Department of Statistics kumarmann03@gmail.com
  • Area of Specialization:

    Sampling

Area of Interest:

Area of Interest Statistics
Qualifications M.A/Ph.D persuing

Brief Profile

Mr. Manish Kumar is presently working as an Assistant Professor and Coordinator in the Department of Statistics, School of Humanities and Social Sciences, Shri Guru Ram Rai University, Dehradun. He has total 8 years of teaching experience having interest in Sampling and Data Analysis in various research and projects. He has presented various papers in national and international Seminars and published papers in journal of international and national reputes. He always likes to follow the words, “Facts are stubborn but statistics are more pliable.”

Research and Publications
S. No. Name of the Author Title of Paper/Book Published Name of the journal/Publication house Year of Publication Manuscript no./DOI
1 Mr. Manish Kumar An Improved Estimator For Estimation of Finite Population Mean Using Auxiliary Information Journal of Northeastern University 2023 ISSN:1005-3026
2 Mr. Manish Kumar Estimating Mean Using Auxiliary Information Under Measurement Errors Mathematical Statistician and Engineering Applications 2022 ISSN:2094-0343
3 Mr. Manish Kumar Estimation of Population Mean Using Auxiliary Information Under Measurement Errors Stochastic Modeling & Applications 2022 ISSN:0972-3641
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