Modern Statistical Methods for Spatial and Multivariate Data

• Corporate Author: SpringerLink (Online service)
• Other Authors: Diawara, Norou (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health,
• Subjects: Applied mathematics.; Engineering mathematics.; Statistics .; Applications of Mathematics.; Statistical Theory and Methods.

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,...

Table of Contents:

• A. Working, M. Alqawba, and N. Diawara: Functional Form of Markovian Attribute-level Best-Worst Discrete Choice Modelling
• D. Hitchcock, H. Liu, and S. Zahra Samadi
• Spatial and Spatio-temporal Analysis of Precipitation Data from South Carolina
• D. Musgrove, D. Young, J. Hughes, and L. E. Eberly: A sparse areal mixed model for multivariate outcomes, with an application to zero-inflated Census data
• E. M. Maboudou-Tchao: Wavelet Kernels for Support Matrix Machines
• S. A. Janse and K. L. Thompson: Properties of the number of iterations of a feasible solutions algorithm
• R. Dey and M. S. Mulekar: A Primer of Statistical Methods for Classification
• M. Sheth-Chandra, N. R. Chaganty, and R. T. Sabo: A Doubly-Inflated Poisson Distribution and Regression Model
• J. Mathews, S. Sen, and I. Das: Multivariate Doubly-Inflated Negative Binomial Distribution using Gaussian Copula
• J. Lorio, N. Diawara, and L. Waller: Quantifying spatio-temporal characteristics via Moran's statistics.