Spatial and Spatio-Temporal Geostatistical Modeling and Kriging
-
- ¥14,800
-
- ¥14,800
発行者による作品情報
Statistical Methods for Spatial and Spatio-Temporal Data Analysis provides a complete range of spatio-temporal covariance functions and discusses ways of constructing them. This book is a unified approach to modeling spatial and spatio-temporal data together with significant developments in statistical methodology with applications in R.
This book includes: Methods for selecting valid covariance functions from the empirical counterparts that overcome the existing limitations of the traditional methods. The most innovative developments in the different steps of the kriging process. An up-to-date account of strategies for dealing with data evolving in space and time. An accompanying website featuring R code and examples
Modeling and Analysis of Compositional Data
2015年
Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
2018年
Applied Directional Statistics
2018年
Extremes and Recurrence in Dynamical Systems
2016年
Spatio-temporal Design
2012年
Large-Scale Inverse Problems and Quantification of Uncertainty
2011年
Applied Time Series Analysis for the Social Sciences
2025年
Statistical Planning and Inference
2025年
Permutation Tests for Complex Data
2025年
Biostatistical Methods
2014年
An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA
2023年
Nonparametric Statistics with Applications to Science and Engineering with R
2022年