Search results for "data depth"

showing 3 items of 3 documents

Functional Linear Models for the Analysis of Similarity of Waveforms

2023

In seismology methods based on waveform similarity analysis are adopted to identify sequences of events characterized by similar fault mechanism and propagation pattern. Seismic waves can be considered as spatially interdependent, three dimensional curves depending on time and the waveform similarity analysis can be configured as a functional clustering approach, on the basis of which the membership is assessed by the shape of the temporal patterns. For providing qualitative extraction of the most important information from the recorded signals, we propose the use of metadata, related to the waves, as covariates of a functional response regression model. The temporal patterns of this effect…

Functional response regressionStructured functional principal componentFunctional data depthWaveforms clusteringSettore SECS-S/01 - Statistica
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Anthropometry: An R Package for Analysis of Anthropometric Data

2017

The development of powerful new 3D scanning techniques has enabled the generation of large up-to-date anthropometric databases which provide highly valued data to improve the ergonomic design of products adapted to the user population. As a consequence, Ergonomics and Anthropometry are two increasingly quantitative fields, so advanced statistical methodologies and modern software tools are required to get the maximum benefit from anthropometric data. This paper presents a new R package, called Anthropometry, which is available on the Comprehensive R Archive Network. It brings together some statistical methodologies concerning clustering, statistical shape analysis, statistical archetypal an…

Statistics and ProbabilityComputer sciencePopulationstatistical shape analysis02 engineering and technologycomputer.software_genre01 natural sciences010104 statistics & probabilitySoftware0202 electrical engineering electronic engineering information engineeringR; anthropometric data; clustering; statistical shape analysis; archetypal analysis; data depth0101 mathematicsarchetypal analysisCluster analysiseducationlcsh:Statisticslcsh:HA1-4737education.field_of_studyAnthropometric databusiness.industryStatistical shape analysisRHuman factors and ergonomicsAnthropometryanthropometric dataVignette020201 artificial intelligence & image processingData miningStatistics Probability and Uncertaintydata depthbusinesscomputerSoftwareclusteringJournal of Statistical Software
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Functional linear models for the analysis of similarity of waveforms

2018

In seismology methods based on waveform similarity analysis are adopted to identify sequences of events characterized by similar fault mechanism and prop- agation pattern. Seismic waves can be considered as spatially interdependent three dimensional curves depending on time and the waveform similarity analysis can be configured as a functional clustering approach, on the basis of which the member- ship is assessed by the shape of the temporal patterns. For providing qualitative ex- traction of the most important information from the recorded signals we propose an integration of the metadata, related to the waves, as explicative variables of a func- tional linear models. The temporal pattern…

structured functional principal componentwaveforms clusteringfunctional data depthSettore SECS-S/01 - Statistica
researchProduct