Rank Tests for Spatial Correlation
Bibliographic Data
| ID | 5147159 |
|---|---|
| Authors | A K Sen (0000-0001-6048-0091, University of Illinois Chicago), Ananya Sen (0000-0002-9082-6871, University of Illinois Chicago), Sööt, S Sööt (University of Illinois Chicago) |
| Year | 1977 |
| Volume | 9 |
| Issue | 8 |
| Pages | 897-903 |
| Publication date | 1977-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning A Economy and Space (JOURNAL) |
| Journal identifiers | ISSN: 0308-518X • E-ISSN: 1472-3409 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1068/a090897 |
| OpenAlex | W2005276268 |
| Language | EN |
| Citations received | 3 |
| References cited | 4 |
If spatial data do not have an underlying normal distribution, the traditional tests for spatial correlation may lead to erroneous conclusions. This is illustrated by means of an example. A class of tests based on the ranks of the observations is proposed and the large sample normality of each test is established. A theorem providing the basis for locally most powerful tests is also presented
Combinatorics · Correlation · Geometry · Normality · Normality test · Physics · Rank correlation · Spatial analysis · Spatial correlation · Statistical hypothesis testing · Statistics · Bayesian Methods and Mixture Models · Mathematics · Spatial and Panel Data Analysis · Statistical Methods and Inference
| Citations per year | 0.07 |
|---|---|
| Citation span | 1982 - 2017 (36) |
| Highly cited | No |