Modern Statistical Methods for Spatial and Multivariate Data

Inbunden, Engelska, 2019

1 529 kr

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This contributed volume features invited papers on current models and statistical methods for spatial and multivariate data.

Produktinformation

Utgivningsdatum2019-07-11
Mått155 x 235 x 17 mm
Vikt459 g
FormatInbunden
SpråkEngelska
SerieSTEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health
Antal sidor177
FörlagSpringer Nature Switzerland AG
ISBN9783030114305

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-temporalcharacteristics via Moran's statistics.