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GWmodel: an R package for exploring spatial heterogeneity using geographically weighted models
Spatial statistics is a growing discipline providing important analytical techniques in a wide
range of disciplines in the natural and social sciences. In the R package GWmodel we …
range of disciplines in the natural and social sciences. In the R package GWmodel we …
[کتاب][B] Hierarchical modeling and analysis for spatial data
S Banerjee, BP Carlin, AE Gelfand - 2003 - taylorfrancis.com
Among the many uses of hierarchical modeling, their application to the statistical analysis of
spatial and spatio-temporal data from areas such as epidemiology And environmental …
spatial and spatio-temporal data from areas such as epidemiology And environmental …
[کتاب][B] Bayesian statistical modelling
P Congdon - 2007 - books.google.com
Bayesian methods combine the evidence from the data at hand with previous quantitative
knowledge to analyse practical problems in a wide range of areas. The calculations were …
knowledge to analyse practical problems in a wide range of areas. The calculations were …
The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models
In this study, we present a collection of local models, termed geographically weighted (GW)
models, which can be found within the GWmodel R package. A GW model suits situations …
models, which can be found within the GWmodel R package. A GW model suits situations …
[کتاب][B] Disease map** with WinBUGS and MLwiN
Disease map** involves the analysis of geo-referenced disease incidence data and has
many applications, for example within resource allocation, cluster alarm analysis, and …
many applications, for example within resource allocation, cluster alarm analysis, and …
[کتاب][B] Applied Bayesian hierarchical methods
PD Congdon - 2010 - taylorfrancis.com
The use of Markov chain Monte Carlo (MCMC) methods for estimating hierarchical models
involves complex data structures and is often described as a revolutionary development. An …
involves complex data structures and is often described as a revolutionary development. An …
Geographically weighted regression with parameter-specific distance metrics
Geographically weighted regression (GWR) is an important local technique to model
spatially varying relationships. A single distance metric (Euclidean or non-Euclidean) is …
spatially varying relationships. A single distance metric (Euclidean or non-Euclidean) is …
[PDF][PDF] Hierarchical multivariate CAR models for spatio-temporally correlated survival data
Survival models have a long history in the biomedical and biostatistical literature, and are
enormously popular in the analysis of time-to-event data. Very often these data will be …
enormously popular in the analysis of time-to-event data. Very often these data will be …
[کتاب][B] Bayesian hierarchical models: with applications using R
PD Congdon - 2019 - taylorfrancis.com
An intermediate-level treatment of Bayesian hierarchical models and their applications, this
book demonstrates the advantages of a Bayesian approach to data sets involving inferences …
book demonstrates the advantages of a Bayesian approach to data sets involving inferences …
Ecological inference for 2× 2 tables (with discussion)
A fundamental problem in many disciplines, including political science, sociology and
epidemiology, is the examination of the association between two binary variables across a …
epidemiology, is the examination of the association between two binary variables across a …