Archana Panigrahi

Room No. - ,
Department of Maths

91-7978780442

archanapanigrahi10@gmail.com

Dr. Archana Panigrahi is working as an Assistant Professor in Statistics in the Ravenshaw University, Cuttack from 31st March, 2022. Prior to that she served as a SSB (State Seletion Board) recruited Lecturer in Statistics at Surajmalsaha Mahavidyalaya, Puri from 1st Nov. 2016  to 30th March 2022. Dr. Panigrahi secured 10th position in the state Odisha in Annual Higher Secondary Examination. She obtained her Master degree (M.A.) in Statistics with first class second from Utkal University.She obtained her M.Phil. degree in Statistics with first position from Utkal University. She completed her doctoral degree (Ph.D.) in Statistics under the supervision of Professor Gopabandhu Mishra from Utkal University. Her Ph.D. Thesis is based on the area “Some Estimation Procedures in Survey Sampling Using Auxiliary Information.

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