Goodness of fit tests with misclassified data based on phi-divergences
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Pardo, L.
Zografos, K.
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Wiley-VCH Verlag
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peer reviewed
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Biometrical Journal
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The well known chi(2) goodness of fit test for a multinomial distribution is generally biased when observations are subject to misclassification. In this paper, based on a double sampling scheme, the family of phi-divergence test statistics is introduced for testing goodness of fit under misclassification of the data. The case of binomial data is discussed and an illustrative example is also given.
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misclassification, double sampling, goodness of fit, phi-divergence statistic, local alternatives, pitman efficiency, double sampling scheme, multinomial goodness, categorical-data, binomial data
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<Go to ISI>://000087003600009
http://onlinelibrary.wiley.com/store/10.1002/(SICI)1521-4036(200005)42:2<223::AID-BIMJ223>3.0.CO;2-T/asset/223_ftp.pdf?v=1&t=hh7gj4yt&s=1d733e6bd78e5ad57d256d8823e21fd404406f0a
http://onlinelibrary.wiley.com/store/10.1002/(SICI)1521-4036(200005)42:2<223::AID-BIMJ223>3.0.CO;2-T/asset/223_ftp.pdf?v=1&t=hh7gj4yt&s=1d733e6bd78e5ad57d256d8823e21fd404406f0a
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en
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