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A Depth Function for Geostatistical Functional Data
2015In this paper we introduce a depth measure for geostatistical functional data. The aim is to provide a tool which allows to get a center-outward ordering of functional data recorded by sensors placed on a geographic area. Although the topic of ordering functional data has already been addressed in the literature, no proposal analyzes the case in which ...
BALZANELLA, Antonio, ROMANO, Elvira
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Clustering Functional Data on Convex Function Spaces
2016The curves in a functional data set often present a variety of distinctive patterns corresponding to different shapes that can be identified by clustering the functions. However, clustering functional data is a difficult task because the function space is, generally, of infinite dimension.
DI BATTISTA, Tonio +2 more
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1994
The types of circuits used in data processing differ significantly from the signal processing functions presented in the previous chapters. Data processing functions typically perform calculations on numerical data, and considerations must be given to how the data is represented and to the speed at which it can be processed. For more complex functions,
Douglas E. Ott, Thomas J. Wilderotter
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The types of circuits used in data processing differ significantly from the signal processing functions presented in the previous chapters. Data processing functions typically perform calculations on numerical data, and considerations must be given to how the data is represented and to the speed at which it can be processed. For more complex functions,
Douglas E. Ott, Thomas J. Wilderotter
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2012
Statistics is concerned with obtaining information from observations X 1, X 2, …, X N . The X n can be scalars, vectors or other objects. For example, each X n can be a satellite image, in some spectral bandwidth, of a particular region of the Earth taken at time n.
Lajos Horváth, Piotr Kokoszka
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Statistics is concerned with obtaining information from observations X 1, X 2, …, X N . The X n can be scalars, vectors or other objects. For example, each X n can be a satellite image, in some spectral bandwidth, of a particular region of the Earth taken at time n.
Lajos Horváth, Piotr Kokoszka
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2006
In many different fields of applied statistics the object of interest is depending on some continuous parameter, i.e. continuous time. Typical examples in biostatistics are growth curves or temperature measurements. Although for technical reasons, we are able to measure temperature just in discrete intervals — it is clear that temperature is a ...
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In many different fields of applied statistics the object of interest is depending on some continuous parameter, i.e. continuous time. Typical examples in biostatistics are growth curves or temperature measurements. Although for technical reasons, we are able to measure temperature just in discrete intervals — it is clear that temperature is a ...
openaire +1 more source
Micro/nano functional devices fabricated by additive manufacturing
Progress in Materials Science, 2023Guangbin Shao
exaly