Methods of Reducing Dimension for Functional Data

Mirosław Krzyśko (), Waldemar Wołyński (), Tomasz Górecki () and Łukasz Waszak ()

Statistics in Transition new series, 2014, vol. 15, issue 2, 231-242

Abstract: In classical data analysis, objects are characterized by many features observed at one point of time. We would like to present them graphically, to see their configuration, eliminate outlying observations, observe relationships between them or to classify them. In recent years methods for representing data by functions have received much attention. In this paper we discuss a new method of constructing principal components for multivariate functional data. We illustrate our method with data from environmental studies.

Keywords: multivariate functional data; functional data analysis; principal component analysis; multivariate principal component analysis (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:csb:stintr:v:15:y:2014:i:2:p:231-242

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