Correction methods, approximate biases, and inference for misclassified data
When categorical data are misplaced into the wrong category, we say the data is affected by misclassification. This is common for data collection. It is well-known that naive estimators of category probabilities and coefficients for regression that ignore misclassification can be biased. In this dis...
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| Language: | ENG |
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ScholarWorks@UMass Amherst
2009
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| Online Access: | https://scholarworks.umass.edu/dissertations/AAI3359160 |