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Encyclopedia of Computational Statistics

  • ID: 2174616
  • Book
  • January 2019
  • 3760 Pages
  • John Wiley and Sons Ltd
Written by over 200 world–renowned experts, the entries in this groundbreaking five–volume series represent the best content and data available to both practitioners and researchers in the field of modern statistical computing. This includes material drawn from computationally intensive statistical methods such as bootstrapping, data visualization, machine intelligence, density estimation, data mining, pattern recognition, clustering and classification, and computational Bayesian methods such as Markov chain Monte Carlo.
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Edward Wegman
David W. Scott
Yasmin H. Said
Jeffrey L. Solka
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