A method to implement goodness of fit tests in survey sampling, where the common independence assumption fails, is proposed. A bootstrap test following an approach similar to those of Bickel and Freedman (1984), Rao and Wu (1988), Sitter (1992) is defined and applied to stratified and two stage sampling. Extensive MonteCarlo simulations show the good behavior of the test and the conditions to achieve satisfactory power levels against reasonable alternatives.
Bootstrap Goodness-of-fit tests for Complex Survey Samples
SCAGNI, Andrea
2000-01-01
Abstract
A method to implement goodness of fit tests in survey sampling, where the common independence assumption fails, is proposed. A bootstrap test following an approach similar to those of Bickel and Freedman (1984), Rao and Wu (1988), Sitter (1992) is defined and applied to stratified and two stage sampling. Extensive MonteCarlo simulations show the good behavior of the test and the conditions to achieve satisfactory power levels against reasonable alternatives.
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