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- Title
Random Projection-Based Anderson-Darling Test for Random Fields.
- Authors
Al Zaim, Yasser; Faridrohani, Mohammad Reza
- Abstract
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 Hilbertvalued 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.
- Subjects
RANDOM projection method; HILBERT space; DATA mining; STOCHASTIC processes; PROBABILITY theory
- Publication
Journal of the Iranian Statistical Society, 2021, Vol 20, Issue 2, p1
- ISSN
1726-4057
- Publication type
Article
- DOI
10.52547/jirss.20.2.1