发帖
雷达卡
by Norou Diawara (Editor)
About the Author
Norou Diawara, Associate Professor, Department of Mathematics and Statistics, Old Dominion University
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.
Brief contents
- Functional Form of Markovian Attribute-Level Best-Worst Discrete Choice Modeling
- Spatial and Spatio-Temporal Analysis of Precipitation Data from South Carolina
- A Sparse Areal Mixed Model for Multivariate Outcomes, with an Application to Zero-Inflated Census Data
- Wavelet Kernels for Support Matrix Machines
- Properties of the Number of Iterations of a Feasible Solutions Algorithm
- A Primer of Statistical Methods for Classification
- A Doubly-Inflated Poisson Distribution and Regression Model
- Multivariate Doubly-Inflated Negative Binomial Distribution Using Gaussian Copula
- Quantifying Spatio-Temporal Characteristics via Moran’s Statistics
Series: STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health
Pages: 177 pages
Publisher: Springer; 1st ed. 2019 edition (July 28, 2019)
Language: English
ISBN-10: 3030114309
ISBN-13: 978-3030114305
PDF version
Springer__Modern Statistical Methods for Spatial and Multivariate Data.pdf
(19.19 MB, 需要: 30 个论坛币)
EPUB version
Springer__Modern Statistical Methods for Spatial and Multivariate Data.epub
(16.88 MB, 需要: 30 个论坛币)
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