Skip to Main content Skip to Navigation
Conference papers

Statistical Analysis of Aircraft Trajectories: a Functional Data Analysis Approach

Abstract : In Functional Data Analysis, the underlying structure of a raw observation is functional and data are assumed to be sample paths from a single stochastic process. When data considered are functional in nature thus infinite-dimensional, like curves or images, the multivariate statistical procedures have to be generalized to the infinite-dimensional case. By approximating random functions by a finite number of random score vectors, the Principal Component Analysis approach appears as a dimension reduction technique and offers a visual tool to assess the dominant modes of variation, pattern of interest, clusters in the data and outlier detection. A functional statistics approach is applied to univariate and multivariate aircraft trajectories.
Complete list of metadata

Cited literature [21 references]  Display  Hide  Download
Contributor : Florence Nicol Connect in order to contact the contributor
Submitted on : Thursday, May 24, 2018 - 1:11:22 PM
Last modification on : Tuesday, October 19, 2021 - 11:02:50 AM
Long-term archiving on: : Saturday, August 25, 2018 - 2:00:22 PM


Files produced by the author(s)


  • HAL Id : hal-01799104, version 1



Florence Nicol. Statistical Analysis of Aircraft Trajectories: a Functional Data Analysis Approach. Alldata 2017, The Third International Conference on Big Data, Small Data, Linked Data and Open Data, Apr 2017, Venice, Italy. pp.51-56/ISBN: 978-1-61208-457-2. ⟨hal-01799104⟩



Record views


Files downloads