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Use of Nonconventional Dispersion Measures to Improve the Efficiency of Ratio-Type Estimators of Variance in the Presence of Outliers.

Farah NazTahir NawazTianxiao PangMuhammad Abid
Published in: Symmetry (2020)
Keyphrases
  • standard deviation
  • low variance
  • data sets
  • risk measures
  • shannon entropy
  • real time
  • data mining
  • machine learning
  • search engine
  • case study
  • computational complexity
  • quantitative measures
  • variance estimator