Add to ORKGMethods of assessing model fit for models of spatial flows frequently do not take account of spatial structure. A nonparametric test, based on the signs of the residuals from a fit, is presented for detecting patterns in the residuals. It can be thought of as a general test of misspecification that can allow for spatial structure effects. It is argued that the test is most usefully applied with a model-building approach to data analysis.
In regression analysis, model misspecification can produce spurious spatial correlation in the resid...
This thesis contributes to the development of test procedures for structured models (Chapters 2, 3 a...
This article proposes two new classes of nonparametric tests for the correct specification of linear...
We develop non-nested tests in a general spatial, spatio-temporal or panel data context. The spatial...
The paper compares non-parametric (design-based) and parametric (model-based) approaches to the anal...
The aim of this work is to propose and analyze the behavior of a test statistic to assess a parametr...
Various linear models may be specified when attempting to estimate an apparent linear trend in real ...
Spatial autoregressive (SAR) and related models offer flexible yet parsimonious ways to model spatia...
Comparing the spatial distribution of two spatial point patterns is an important issue in many scien...
Accounting for spatial structures in econometric studies is becoming an issue of special interest, g...
Abstract. Concern has been expressed about the effects of spatial structure on parameter estimates f...
This study developed a new method of hypothesis testing of model conformity between truncated spline...
The misspecification of gravity spatial interaction models has recently been described by the author...
Model assessment is one of the most important aspects of statistical analysis. In geographical analy...
Spatial autoregressive (SAR) and related models offer flexible yet parsimonious ways to model spatial...
In regression analysis, model misspecification can produce spurious spatial correlation in the resid...
This thesis contributes to the development of test procedures for structured models (Chapters 2, 3 a...
This article proposes two new classes of nonparametric tests for the correct specification of linear...
We develop non-nested tests in a general spatial, spatio-temporal or panel data context. The spatial...
The paper compares non-parametric (design-based) and parametric (model-based) approaches to the anal...
The aim of this work is to propose and analyze the behavior of a test statistic to assess a parametr...
Various linear models may be specified when attempting to estimate an apparent linear trend in real ...
Spatial autoregressive (SAR) and related models offer flexible yet parsimonious ways to model spatia...
Comparing the spatial distribution of two spatial point patterns is an important issue in many scien...
Accounting for spatial structures in econometric studies is becoming an issue of special interest, g...
Abstract. Concern has been expressed about the effects of spatial structure on parameter estimates f...
This study developed a new method of hypothesis testing of model conformity between truncated spline...
The misspecification of gravity spatial interaction models has recently been described by the author...
Model assessment is one of the most important aspects of statistical analysis. In geographical analy...
Spatial autoregressive (SAR) and related models offer flexible yet parsimonious ways to model spatial...
In regression analysis, model misspecification can produce spurious spatial correlation in the resid...
This thesis contributes to the development of test procedures for structured models (Chapters 2, 3 a...
This article proposes two new classes of nonparametric tests for the correct specification of linear...