A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Monte Carlo Simulations on robustness of functional location estimator based on several functional depth
[article]
2018
arXiv
pre-print
Functional data analysis has been a growing field of study in recent decades, and one fundamental task in functional data analysis is estimating the sample location. A notion called statistical depth has been extended from multivariate data to functional data, and it can provide a center-outward order for each observation within a sample of functional curves. Making use of this intuitive nature of depth methods, a depth-based trimmed mean where curves with lower depth values are excluded can be
arXiv:1811.01469v1
fatcat:6hwjhm4ht5a7zfv67nbdvqhily