Methods of Reducing Dimension for Functional Data

• Autorzy: Tomasz Górecki , Mirosław Krzyśko , Łukasz Waszak , Waldemar Wołyński
• Języki publikacji: EN

Abstrakty

EN

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. (original abstract)

Słowa kluczowe

EN

Multi-dimensional statistical analysis; Statistical methods

PL

Wielowymiarowa analiza statystyczna; Metody statystyczne

• Czasopismo: Statistics in Transition
• Rocznik: 2014
• Tom: 15
• Numer: nr 2
• Strony: 231--242

Twórcy

autor

Tomasz Górecki

• Adam Mickiewicz University in Poznań, Poland

autor

Mirosław Krzyśko

• Adam Mickiewicz University in Poznań, Poland

autor

Łukasz Waszak

• Adam Mickiewicz University in Poznań, Poland

autor

Waldemar Wołyński

• Adam Mickiewicz University in Poznań, Poland

Bibliografia

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