Modern Statistical Methods for Spatial and Multivariate Data is popular PDF and ePub book, written by Norou Diawara in 2019-06-29, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Modern Statistical Methods for Spatial and Multivariate Data can be Read Online from any device for your convenience.
Modern Statistical Methods for Spatial and Multivariate Data Book PDF Summary
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.
Detail Book of Modern Statistical Methods for Spatial and Multivariate Data PDF
- Author : Norou Diawara
- Release : 29 June 2019
- Publisher : Springer
- ISBN : 9783030114312
- Genre : Mathematics
- Total Page : 177 pages
- Language : English
- PDF File Size : 7,6 Mb
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