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Walter W. Piegorsch

Computational Statistics in Data Science

Buch

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… Mehr

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Produktdetails


Weitere Autoren: Levine, Richard A. / Zhang, Hao Helen / Lee, Thomas C. M.
  • ISBN: 978-1-119-56107-1
  • EAN: 9781119561071
  • Produktnummer: 35955475
  • Verlag: Wiley
  • Sprache: Englisch
  • Erscheinungsjahr: 2022
  • Seitenangabe: 672 S.
  • Masse: H24.4 cm x B17.0 cm x D4.1 cm 1'270 g
  • Auflage: 1. Auflage
  • Gewicht: 1270

Über den Autor


Walter W. Piegorsch is Professor of Mathematics at the University of Arizona and Director of Statistical Research & Education at the University's BIO5 Institute. He is also a former Chair of the UArizona Interdisciplinary Program in Statistics, and a past editor of the Journal of the American Statistical Association (Theory & Methods Section). He is a fellow of the American Statistical Association and an elected member of the International Statistical Institute.Richard A. Levine is Professor of Statistics at San Diego State University and Faculty Advisor overseeing the Statistical Modeling Group in SDSU Analytic Studies and Institutional Research. He is former Chair of the SDSU Department of Mathematics and Statistics and past Editor of the Journal of Computational and Graphical Statistics. He is Associate Editor for Statistics of the Notices of the American Mathematical Society and is a fellow of the American Statistical Association.Hao Helen Zhang is Professor of Mathematics at the University of Arizona and Chair of the UArizona Interdisciplinary Program in Statistics. She is Editor-in-Chief of STAT (the ISI journal) and Associate Editor of the Journal of the American Statistical Association and the Journal of the Royal Statistical Society. She is a fellow of the American Statistical Association, the Institute of Mathematical Statistics, and an elected member of the International Statistical Institute.Thomas C. M. Lee is Professor of Statistics and Associate Dean of the Faculty in Mathematical and Physical Sciences at the University of California, Davis. He is a former Chair of the Department of Statistics at the same institution and a past editor of the Journal of Computational and Graphical Statistics. He is an elected fellow of the American Association for the Advancement of Science, the American Statistical Association, and the Institute of Mathematical Statistics..

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