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Principles and Methods for Data Science (Volume 43) (Handbook of Statistics (Volume 43))

Principles and Methods for Data Science (Volume 43) (Handbook of Statistics (Volume 43))

Principles and Methods for Data Science (Volume 43) (Handbook of Statistics
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Principles and Methods for Data Science (Volume 43) (Handbook of Statistics (Volume 43)) Hardback -

by Arni S. Srinivasa Rao (Volume Editor); C. R. Rao (Volume Editor)

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Details

  • Title Principles and Methods for Data Science (Volume 43) (Handbook of Statistics (Volume 43))
  • Author Arni S. Srinivasa Rao (Volume Editor); C. R. Rao (Volume Editor)
  • Binding Hardback
  • Condition New
  • Pages 496
  • Volumes 1
  • Language ENG
  • Publisher North-Holland
  • Publication date
  • Bookseller's Inventory # 6376978842
  • ISBN 9780444642110 / 0444642110
  • Weight 1.83 lbs (0.83 kg)
  • Dimensions 9 x 6 x 1.06 in (22.86 x 15.24 x 2.69 cm)
  • Category Mathematics
  • Quantity available 3

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Reader reviews for Principles and Methods for Data Science (Volume 43) (Handbook of Statistics (Volume 43))

From the publisher

Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with this updated volume presenting interesting and timely topics, including Competing risks, aims and methods, Data analysis and mining of microbial community dynamics, Support Vector Machines, a robust prediction method with applications in bioinformatics, Bayesian Model Selection for Data with High Dimension, High dimensional statistical inference: theoretical development to data analytics, Big data challenges in genomics, Analysis of microarray gene expression data using information theory and stochastic algorithm, Hybrid Models, Markov Chain Monte Carlo Methods: Theory and Practice, and more.

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