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Modern Statistical Methods for Spatial and Multivariate Data
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Modern Statistical Methods for Spatial and Multivariate Data

1st ed. 2019

Book Details

Format Hardback or Cased Book
ISBN-10 3030114309
ISBN-13 9783030114305
Edition 1st ed. 2019
Publisher Springer Nature Switzerland AG
Imprint Springer Nature Switzerland AG
Country of Manufacture GB
Country of Publication GB
Publication Date Jul 11th, 2019
Print length 177 Pages
Ksh 18,000.00
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This contributed volume features invited papers on current models and statistical methods for spatial and multivariate data.
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.


         
      

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