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Modified Tests of Independence in 2 x 2 Tables with Spatial Data
Vol. 53, No. 2 (Jun., 1997), pp. 619-628
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/2533962
Page Count: 10
You can always find the topics here!Topics: Null hypothesis, Statistics, Simulations, Spatial data, Biometrics, Autocorrelation, Monte Carlo methods, Isotropy, Proportions, Significance level
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In this paper we suggest two modified chi-squared tests of independence in 2 x 2 tables when the data are spatially autocorrelated. For this purpose, we first derive the asymptotic distribution of standard test statistics based on the sample cross-product ratio under mild conditions on the nature of spatial dependence. The performance of the tests is assessed by means of a Monte Carlo experiment in a lattice case. From simulation results, the need to adjust standard test statistics is apparent when spatial autocorrelation is present in both variables. An illustrative application to ecological data is also given.
Biometrics © 1997 International Biometric Society