
Sách Modern Statistical Methods for Spatial and Multivariate Data (sách keo gáy, bìa mềm)
Thể loại:Mathematics - Mathematical Statistics
Năm:2019
In lần thứ:1st ed.
Ngôn ngữ:english
Trang:184
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.
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