One‐Way anova for Functional Data via Globalizing the Pointwise F‐test
By Jin-Ting Zhang, Xuehua Liang. 2014
112 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/f6d9253dc35e64427aebb5f8ba8a4165fe961991
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In Artificial Intelligence
In Statistics and Probability
Citations in the corpus
- Interval-wise testing for functional data (2017, background): “The former approach commonly relies on distributional assumptions on functional data and/or on asymptotic results (Cuevas et al. 2004; Abramovich and Angelini 2006; Antoniadis and Sapatinas 2007; Horv´ath and Kokoszka 2012; Staicu et al. 2014; Zhang and Liang 2014).”