A test for spatial correlation for binary data
β Scribed by Songyong Sim
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 204 KB
- Volume
- 47
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
β¦ Synopsis
A test for spatial correlation is considered when the binary observations are obtained from a regular grid. We use the auto-logistic model for our data and a conditional uniformly most powerful unbiased test for the spatial correlation is found. We use a Monte Carlo method based on a Markov chain for conducting the test. A numerical example is given.
π SIMILAR VOLUMES
In the context of the first-order auto-logistic model for dichotomous spatial data, we obtain the first statistical test for comparing two geographical areas on the basis of their statistical properties. These optimal unbiased tests are illustrated with an example which features the Markov chain Mon
This paper proposes an independence test for a set of clustered binary observations, such as might be encountered in developmental toxicity studies. An exchangeable binary model is employed, under an assumption of exchangeability among cluster elements, to model probability of positive response. Wit
The problem of testing for the significance of a linear trend in the presence of positively correlated errors is considered. Test criteria based on ordinary least squares, conditional maximum likelihood, estimated generalized least squares and maximum likelihood estimates tend to have higher signifi