Modern Statistical Methods for Spatial and Multivariate Data

✍ Scribed by Norou Diawara

• Publisher: Springer International Publishing
• Year: 2019
• Tongue: English
• Leaves: 184
• Series: STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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

Front Matter ....Pages i-xiv
Functional Form of Markovian Attribute-Level Best-Worst Discrete Choice Modeling (Amanda Working, Mohammed Alqawba, Norou Diawara)....Pages 1-30
Spatial and Spatio-Temporal Analysis of Precipitation Data from South Carolina (Haigang Liu, David B. Hitchcock, S. Zahra Samadi)....Pages 31-50
A Sparse Areal Mixed Model for Multivariate Outcomes, with an Application to Zero-Inflated Census Data (Donald Musgrove, Derek S. Young, John Hughes, Lynn E. Eberly)....Pages 51-74
Wavelet Kernels for Support Matrix Machines (Edgard M. Maboudou-Tchao)....Pages 75-93
Properties of the Number of Iterations of a Feasible Solutions Algorithm (Sarah A. Janse, Katherine L. Thompson)....Pages 95-105
A Primer of Statistical Methods for Classification (Rajarshi Dey, Madhuri S. Mulekar)....Pages 107-129
A Doubly-Inflated Poisson Distribution and Regression Model (Manasi Sheth-Chandra, N. Rao Chaganty, Roy T. Sabo)....Pages 131-145
Multivariate Doubly-Inflated Negative Binomial Distribution Using Gaussian Copula (Joseph Mathews, Sumen Sen, Ishapathik Das)....Pages 147-161
Quantifying Spatio-Temporal Characteristics via Moran’s Statistics (Jennifer L. Matthews, Norou Diawara, Lance A. Waller)....Pages 163-177

✦ Subjects

Mathematics; Applications of Mathematics; Statistical Theory and Methods