Non-Asymptotic Confidence Sets for Circular Means
نویسندگان
چکیده
The mean of data on the unit circle is defined as the minimizer of the average squared Euclidean distance to the data. Based on Hoeffding’s mass concentration inequalities, non-asymptotic confidence sets for circular means are constructed which are universal in the sense that they require no distributional assumptions. These are then compared with asymptotic confidence sets in simulations and for a real data set.
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ورودعنوان ژورنال:
- Entropy
دوره 18 شماره
صفحات -
تاریخ انتشار 2016