Robust methods for the analysis of spatially autocorrelated data
type: Item
instance of: scholarly article
title: Robust methods for the analysis of spatially autocorrelated data
zbMATH Open document ID: 1145.62375
DOI: 10.1007/BF02509831
author: Andrea Cerioli
author: Marco Riani
published in: Statistical Methods and Applications
publication date: 2005-03-03T00:00:00Z
Mathematics Subject Classification ID: 62M30
Mathematics Subject Classification ID: 62F35
Mathematics Subject Classification ID: 62H11
zbMATH DE Number: 2140464
zbMATH Keywords: block forward search
zbMATH Keywords: masking
zbMATH Keywords: SAR model
zbMATH Keywords: spatial outliers
describes a project that uses: Spatial Statistics
describes a project that uses: spatial
MaRDI profile type: Publication
cites work: Fast Very Robust Methods for the Detection of Multiple Outliers
cites work: Robust diagnostic regression analysis
cites work: Q3498096
cites work: multiple and conditional deletion diagnostics for general linear models
cites work: Testing Mutual Independence Between Two Discrete-Valued Spatial Processes: A Correction to Pearson Chi-Squared
cites work: Residuals for the Linear Model With General Covariance Structure
cites work: Window Subsampling of Estimating Functions with Application to Regression Models
cites work: Exact maximum likelihood for incomplete data from a correlated gaussian process
cites work: Leverage, influence and residuals in regression models when observations are correlated
cites work: Recursive structure of noncausal Gauss-Markov random fields
cites work: Robust Diagnostic Data Analysis: Transformations in Regression
cites work: Q3706382
cites work: Least Median of Squares Regression
cites work: Q4892502
description: scientific article; zbMATH DE number 2140464