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Introduction to functional data analysis.
Author(s) -
Daniel J. Levitin,
Regiuzzo,
Bradley W. Vines,
J. O. Ramsay
Publication year - 2007
Publication title -
canadian psychology/psychologie canadienne
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.873
H-Index - 51
eISSN - 1878-7304
pISSN - 0708-5591
DOI - 10.1037/cp2007014
Subject(s) - functional data analysis , functional principal component analysis , computer science , set (abstract data type) , data set , ask price , data science , series (stratigraphy) , data mining , machine learning , artificial intelligence , biology , paleontology , economy , economics , programming language
Psychologists and behavioural scientists are increasingly collecting data that are drawn from continuous underlying processes. We describe a set of quantitative methods, Functional Data Analysis (FDA), which can answer a number of questions that traditional statistical approaches cannot. These methods are applicable for analyzing many datasets that are common in experimental psychology, including time series data, repeated measures, and data distributed over time or space as in neuroimaging experiments [...

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