Analysis in the Presence of Classification Errors

Parimal Mukhopadhyay ()
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Parimal Mukhopadhyay: Indian Statistical Institute

Chapter Chapter 7 in Complex Surveys, 2016, pp 179-194 from Springer

Abstract: Abstract So far we have assumed that there was no error in classifying the units according to their true categories. In practice, classification errors may be present and in these situations usual tests of goodness-of-fit, independence, and homogeneity become untenable. This chapter considers modifications of the usual test procedures under this context. Again, units in a cluster are likely to be related. Thus in a cluster sampling design where all the sampled clusters are completely enumerated, Pearson’s usual statistic of goodness-of-fit seems unsuitable. This chapter considers modification of $$X_P^2$$ X P 2 statistic under these circumstances.

Keywords: Classification error; Misclassification probabilities; Double sampling; Weighted cluster sampling design; Models of association (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-10-0871-9_7

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DOI: 10.1007/978-981-10-0871-9_7

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