Parametry
- 348 stron
- 13 godzin czytania
Więcej o książce
Data 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 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 Testing Hypotheses in Large Complex Data, From Urban Mobility Problems to Data Science Solutions, and Data Structures and Artificial Intelligence Methods.
Zakup książki
Data Science, Arni S.R. Srinivasa Rao, C R Rao
- Język
- Rok wydania
- 2021
- Oprawa
- (twarda)
Metody płatności
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- Tytuł
- Data Science
- Podtytuł
- Theory and Applications (Volume 44)
- Język
- angielski
- Autorzy
- Arni S.R. Srinivasa Rao, C R Rao
- Wydawca
- North-Holland
- Rok wydania
- 2021
- Oprawa
- twarda
- Liczba stron
- 348
- ISBN10
- 0323852009
- ISBN13
- 9780323852005
- Seria
- Tagi
- Opis
- Data 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 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 Testing Hypotheses in Large Complex Data, From Urban Mobility Problems to Data Science Solutions, and Data Structures and Artificial Intelligence Methods.