Computational Statistics in Data Science

by Walter W. Piegorsch, Richard F. Levine, Hao Helen Zhang, and Thomas C. M. Lee

Walter W. Piegorsch (Editor), Richard A. Levine (Editor), Hao Helen Zhang (Editor), and Thomas C. M. Lee (Editor)

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An essential roadmap to the application of computational statistics in contemporary data science

In Computational Statistics in Data Science, a team of distinguished mathematicians and statisticians delivers an expert compilation of concepts, theories, techniques, and practices in computational statistics for readers who seek a single, standalone sourcebook on statistics in contemporary data science. The book contains multiple sections devoted to key, specific areas in computational statistics, offering modern and accessible presentations of up-to-date techniques.

Computational Statistics in Data Science provides complimentary access to finalized entries in the Wiley StatsRef: Statistics Reference Online compendium. Readers will also find:

  • A thorough introduction to computational statistics relevant and accessible to practitioners and researchers in a variety of data-intensive areas
  • Comprehensive explorations of active topics in statistics, including big data, data stream processing, quantitative visualization, and deep learning

Perfect for researchers and scholars working in any field requiring intermediate and advanced computational statistics techniques, Computational Statistics in Data Science will also earn a place in the libraries of scholars researching and developing computational data-scientific technologies and statistical graphics.

  • ISBN13 9781119561088
  • Publish Date 23 March 2022 (first published 17 March 2022)
  • Publish Status Active
  • Publish Country US
  • Publisher John Wiley & Sons Inc
  • Imprint Standards Information Network