Winsorization methods in sample surveys
This thesis covers winsorization-based outlier-robust estimators for sample surveys. In this field, the aim is to predict the total of a finite population of values, from a with replacement sample. While many mainstream outlier methods can be applied to surveys, there are several issues peculiar to finite population estimation. For instance, there is a strong distinction between true and untrue/unrepresentative outliers. Untrue outliers, for example due to miscoding, should be excluded from...[Show more]
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