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

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.
IFCS - Data Analysis, Classification, and Related Methods
Namur, Blegio
2000
"Data Analysis, Classification, and Related Methods" a selection of papers presented at the IFCS 2000 Conference, Kiers H.A.L. et alia (editors)
Springer
359
365
bootstrap; goodness of fit; sample survey; complex samples
A. SCAGNI
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/19663
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