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Data Science: Theory and Applications

Language EnglishEnglish
Book Hardback
Book Data Science: Theory and Applications C. R. Rao
Libristo code: 33240405
Publishers Elsevier Science & Technology, February 2021
Data Science: Theory and Applications, Volume 44 in the Handbook of Statistics series, highlights ne... Full description
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Data Science: Theory and Applications, Volume 44 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of interesting topics, including Modeling extreme climatic events using the generalized extreme value distribution, Bayesian Methods in Data Science, Mathematical Modeling in Health Economic Evaluations, Data Science in Cancer Genomics, Blockchain Technology: Theory and Practice, Statistical outline of animal home ranges, an application of set estimation, Application of Data Handling Techniques to Predict Pavement Performance, Analysis of individual treatment effects for enhanced inferences in medicine, and more. Additional sections cover Nonparametric Data Science: Testing Hypotheses in Large Complex Data, From Urban Mobility Problems to Data Science Solutions, and Data Structures and Artificial Intelligence Methods. Provides the authority and expertise of leading contributors from an international board of authorsPresents the latest release in the Handbook of Statistics seriesUpdated release includes the latest information on Data Science: Theory and Applications

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About the book

Full name Data Science: Theory and Applications
Author C. R. Rao, Arni S. R. Srinivasa Rao
Language English
Binding Book - Hardback
Date of issue 2021
Number of pages 348
EAN 9780323852005
Libristo code 33240405
Publishers Elsevier Science & Technology
Weight 670
Dimensions 152 x 229 x 21

Categories

Mathematics & Science > Mathematics > Applied mathematics > Stochastics
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