Volume 20, Issue 2 (12-2021)                   JIRSS 2021, 20(2): 1-28 | Back to browse issues page

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Al Zaim Y, Faridrohani M R. Random Projection-Based Anderson-Darling Test for Random Fields. JIRSS 2021; 20 (2) :1-28
URL: http://jirss.irstat.ir/article-1-695-en.html
Department of Statistics, Shahid Beheshti University, Tehran, Iran. , faridrohani@sbu.ac.ir
Abstract:   (1009 Views)

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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Type of Study: Original Paper | Subject: 62Mxx: Inference from stochastic processes
Received: 2020/08/13 | Accepted: 2021/07/18 | Published: 2022/04/12

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