+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

PRINTER FRIENDLY

Data Science: Theory and Applications, Vol 44. Handbook of Statistics

  • ID: 5137722
  • Book
  • February 2021
  • 420 Pages
  • Elsevier Science and Technology

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 authors
  • Presents the latest release in the Handbook of Statistics series
  • Updated release includes the latest information on Data Science: Theory and Applications
Note: Product cover images may vary from those shown

1. Blockchain Technology: Theory and Practice Srikanth Cherukupally 2. Statistical outline of animal home ranges, an application of set estimation Amparo Baíllo 3. Application of Data Handling Techniques to Predict Pavement Performance Sireesh Saride 4. Analysis of individual treatment effects for enhanced inferences in medicine Victor Talisa 5. An EM algorithm over h-likelihood method for inference and prediction with censored spatial data Somak Dutta 6. Nonparametric Data Science: Testing Hypotheses in Large Complex Data Sunil Mathu 7. Data Structures and Artificial Intelligence Methods Arni S.R. Srinivasa Rao 8. Chapter title to be confirmed Jasmina Griffiths 9. Chapter title to be confirmed Brijesh P. Singh

Note: Product cover images may vary from those shown
Adroll
adroll