Random Projection-Based Anderson-Darling Test for Random Fields
نویسندگان
چکیده مقاله:
In this paper, we present the Anderson-Darling (AD) and Kolmogorov-Smirnov (KS) goodness of fit statistics for stationary and non-stationary random fields. Namely, we adopt an easy-to-apply method based on a random projection of a Hilbert-valued random field onto the real line R, and then, applying the well-known AD and KS goodness of fit tests. We conclude this paper by studying the behavior of the proposed approach in the wide range of simulation studies and in a case study of autistic and healthy individuals.
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عنوان ژورنال
دوره 20 شماره 2
صفحات 1- 28
تاریخ انتشار 2021-12
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