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Modern Statistical Methods for Spatial and Multivariate Data

Modern Statistical Methods for Spatial and Multivariate Data

Hardcover

Series: Steam-H: Science, Technology, Engineering, Agriculture, Math

General MathematicsProbability & Statistics

ISBN10: 3030114309
ISBN13: 9783030114305
Publisher: Springer Nature
Published: Jul 11 2019
Pages: 177
Weight: 0.99
Height: 0.50 Width: 6.14 Depth: 9.21
Language: English
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.

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