Likelihood analysis for a class of spatial geostatistical compositional models
نویسندگان
چکیده
منابع مشابه
Applying Spatial Geostatistical Analysis Models for Evaluating Variability of Soil Properties in Eastern Shiraz, Iran
ABSTRACT- The information on the spatial properties of soil is vital to improve soil management and to increase the crop productivity. Geostatistical analysis technique is one of the most important methods for determining the spatial properties of soil. The aim of this study was to investigate spatial variability of soil chemical and physical attributes for field management in eastern Shiraz, I...
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In spatial generalized linear mixed models, spatial correlation is assumed by adding normal latent variables to the model. In these models because of the non-Gaussian spatial response and the presence of latent variables the likelihood function cannot usually be given in a closed form, thus the maximum likelihood approach is very challenging. The main purpose of this paper is to introduce two n...
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abstract- the information on the spatial properties of soil is vital to improve soil management and to increase the crop productivity. geostatistical analysis technique is one of the most important methods for determining the spatial properties of soil. the aim of this study was to investigate spatial variability of soil chemical and physical attributes for field management in eastern shiraz, i...
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Geostatistical simulations are used to perform a global sensitivity analysis on a model Y = f(X1 ... Xk) where one of the model inputs Xi is a continuous 2D-field. Geostatistics allow specifying uncertainty on Xi with a spatial covariance model and generating random realizations of Xi. These random realizations are used to propagate uncertainty through model f and estimate global sensitivity in...
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ژورنال
عنوان ژورنال: Spatial Statistics
سال: 2016
ISSN: 2211-6753
DOI: 10.1016/j.spasta.2016.06.008