STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health

Modern Statistical Methods for Spatial and Multivariate Data

Editors: Diawara, Norou (Ed.)

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  • Exposes new research directions and solutions in spatio-temporal and multivariate dataIncreases understanding of models in medical and engineering areasFeatures recent advances in spatio-temporal aspects, classification techniques, the multivariate outcomes with zero and doubly-inflated data, discrete choice modelling, kernel functions of support matrix machines and copula distributions 
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eBook 69,99 €
price for Spain (gross)
  • ISBN 978-3-030-11431-2
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  • Immediate eBook download after purchase
Hardcover 88,39 €
price for Spain (gross)
  • ISBN 978-3-030-11430-5
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  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This contributed volume features invited papers on current models and statistical methods for spatial and multivariate data. With a focus on recent advances in statistics, topics include spatio-temporal aspects, classification techniques, the multivariate outcomes with zero and doubly-inflated data, discrete choice modelling, copula distributions, and feasible algorithmic solutions. Special emphasis is placed on applications such as the use of spatial and spatio-temporal models for rainfall in South Carolina and the multivariate sparse areal mixed model for the Census dataset for the state of Iowa. Articles use simulated and aggregated data examples to show the flexibility and wide applications of proposed techniques.
Carefully peer-reviewed and pedagogically presented for a broad readership, this volume is suitable for graduate and postdoctoral students interested in interdisciplinary research. Researchers in applied statistics and sciences will find this book an important resource on the latest developments in the field.  In keeping with the STEAM-H series, the editors hope to inspire interdisciplinary understanding and collaboration.

               

Table of contents (9 chapters)

Table of contents (9 chapters)
  • Functional Form of Markovian Attribute-Level Best-Worst Discrete Choice Modeling

    Pages 1-30

    Working, Amanda (et al.)

  • Spatial and Spatio-Temporal Analysis of Precipitation Data from South Carolina

    Pages 31-50

    Liu, Haigang (et al.)

  • A Sparse Areal Mixed Model for Multivariate Outcomes, with an Application to Zero-Inflated Census Data

    Pages 51-74

    Musgrove, Donald (et al.)

  • Wavelet Kernels for Support Matrix Machines

    Pages 75-93

    Maboudou-Tchao, Edgard M.

  • Properties of the Number of Iterations of a Feasible Solutions Algorithm

    Pages 95-105

    Janse, Sarah A. (et al.)

Buy this book

eBook 69,99 €
price for Spain (gross)
  • ISBN 978-3-030-11431-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 88,39 €
price for Spain (gross)
  • ISBN 978-3-030-11430-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Modern Statistical Methods for Spatial and Multivariate Data
Editors
  • Norou Diawara
Series Title
STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-11431-2
DOI
10.1007/978-3-030-11431-2
Hardcover ISBN
978-3-030-11430-5
Series ISSN
2520-193X
Edition Number
1
Number of Pages
XIV, 177
Number of Illustrations
13 b/w illustrations, 25 illustrations in colour
Topics