A Spatially Adjusted ANOVA Model

Geographical Analysis

Volumn 10, Issue 3, 1978, Pages 296-301

  Griffith, Daniel A ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84977342791     PISSN: 00167363     EISSN: 15384632     Source Type: Journal    
DOI: 10.1111/j.1538-4632.1978.tb00661.x     Document Type: Article

References (38)

1. On the Asymptotic Properties of the Maximum‐Likelihood Estimates Obtained from Dependent Observations.
2. The Functional Bases of the Central Place Hierarchy.
3. The Statistical Analysis of Non‐Lattice Data.
4. On the Method of Maximum‐Likelihood for Dependent Observations.
5. Estimation of the Coefficients of a Linear Regression in the Presence of Spatial Autocorrelation: An Application to a Belgian Labour‐Demand Function.
6. Changes in the Service Structure of Rural Trade Centres.
7. The Comparison of Means When Samples Consist of Spatially Autocorrelated Observations.
8. A Bivariate Spatial Regression Operator.
9. A Note on Spatial Association.
10. A Review of Measures of Contiguity for Two and K‐Color Maps.
11. Econometric Estimation with Spatial Dependence.
12. The Contiguity Ratio and Statistical Mapping.
13. A Note on Spatial Autocorrelation.
14. Spatial Autocorrelation Problems: Some Preliminary Sketches of a Structural Taxonomy.
15. Regional and Local Components in the Distribution of Forested Areas in South East Brazil: A Multivariate Approach.
16. Model Specification in Stationary Random Fields.
17. A Maximum Likelihood Model for Econometric Estimation With Spatial Series
18. Spatial Correlation in the Disturbances of a Linear Interregional Model.
19. Analyse statistique de la contiguite.
20. On Spatial Dependence, Bias, and the Use of First Spatial Differences in Regression Analysis.
21. A Note on the Estimation of a Spatially Autoregressive Model.
22. On the Estimation of a Partial Adjustment Model with Autocorrelated Errors.
23. Geographical Variances.
24. The Interpretation of Statistical Maps.
25. A Note on Maximum Likelihood in the Case of Dependent Random Variables.
26. The Statistical Analysis of Spatial Series.