Dynamic Outlier Detection in Price Index Surveys
نویسنده
چکیده
The majority of data sets contain observations that do not conform to the structure followed by the rest of the data. These observations, known as outliers, can be found using a multitude of statistical and non-statistical methods. This paper highlights a generalized system built, specifically for price index surveys, which analysts can use to test different outlier detection methods. It also details the underlying theory involved. With the aid of an analytical user interface, analysts can test these statistical outlier detection methods and immediately see results which will help them reach a decision about the method that best suits their survey data.
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