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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 

書籍の購入

イーブック ¥9,546
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-030-11431-2
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: EPUB, PDF
  • どの電子書籍リーダーからでもすぐにお読みいただけます。
  • ご購入後、すぐにダウンロードしていただけます。
ハードカバー ¥11,933
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • 予定日: July 28, 2019
  • ISBN 978-3-030-11430-5
  • 個人のお客様には、世界中どこでも配送料無料でお届けします。
この書籍について

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.)

書籍の購入

イーブック ¥9,546
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-3-030-11431-2
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: EPUB, PDF
  • どの電子書籍リーダーからでもすぐにお読みいただけます。
  • ご購入後、すぐにダウンロードしていただけます。
ハードカバー ¥11,933
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • 予定日: July 28, 2019
  • ISBN 978-3-030-11430-5
  • 個人のお客様には、世界中どこでも配送料無料でお届けします。
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書誌情報

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
イーブック ISBN
978-3-030-11431-2
DOI
10.1007/978-3-030-11431-2
ハードカバー 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