Dr. Nrusinha Charan Sahoo

Room No. - ,
Department of Maths

9438324760

ncs_math@ravenshawuniversity.ac.in

Dr. Sahoo is presently appointed as the visiting faculty in the department of Mathematics, Ravenshaw University, Cuttack since 2015. He has obtained M.Sc. from Ravenshaw  College, Cuttack  in 1977 and Ph.D. degree from Berhampur University, Berhampur in 2002. He has 34 years of teaching & research experience. His expertise in teaching includes Algebra, Analysis, Numerical Solution of Differential and Integral Equation I and II, C-Programming and Operations Research. His Research Interests mainly focuses on summability theory and inventory control. One student has completed Ph. D. under his guidance. He has 14 number of publications in national and international journals.

Selected Publications

  • Group
  • Research
  • Publications
  • Teachings

NA

  • Sample Survey Methods
  • Design of Experiment
  • Biostatistics
  • Panigrahi, A. & Mishra, G. (2017) Some Modified Exponential Ratio Type Estimators of Finite Population Mean in Survey Sampling, International Journal for Research in Applied Science & Engineering Technology, 5(9), 1511-1514.
  • Panigrahi, A. & Mishra, G. (2017) Improved Exponential Product Type Estimators of Finite Population Mean, Open Access International Journal of Science & Engineering, 2(7), 25-28.
  • Panigrahi, A. & Mishra, G. (2017) On Some Modified Exponential Ratio Type Estimators of in Two-Phase Sampling, International Refereed Journal of Reviews and Research, 5(6), 78-83.
  • Panigrahi, A. & Mishra, G. (2020) Improvement in Estimating of Finite Population Mean Using Auxiliary Variable in Two-Phase Sampling, Open Access International Journal of Science & Engineering, 5(10), 43-49.
  • Panigrahi, A. & Mishra, G. (2018) Improved Exponential Product Type Estimators in Two-Phase Sampling, International Journal of Advanced Technology & Engineering Research, National Conference on Recent Trends in Science, Technology & Management (NCRTSTM-2018), 1, 118-121.

 

  • Sample Survey Methods
  • Design of Experiment
  • Statistical Quality Control
  • Sampling Distributions
  • Time Series Analysis
  • Demography

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