Asymptotic behavior of samples from general multivariate distributions
DOI10.1016/0378-3758(95)00118-2zbMath0848.62028OpenAlexW2094221193MaRDI QIDQ1918228
Publication date: 27 October 1996
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0378-3758(95)00118-2
extreme valuesrelative stabilityfunctional estimationalmost sure stabilitystability in probabilityfunctional statisticunbounded supportalmost complete stabilityhomothetic isobarsstar-shaped hullssupport of probability measures
Asymptotic distribution theory in statistics (62E20) Characterization and structure theory for multivariate probability distributions; copulas (62H05)
Related Items (2)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- The outlier behaviour of probability distributions
- Limit theorems for convex hulls
- Convergence of scaled random samples in \({\mathbb{R}{}}^ d\)
- Breakdown properties of location estimates based on halfspace depth and projected outlyingness
- Pointwise and sup-norm sharp adaptive estimation of functions on the Sobolev classes
- Estimation of the density support and its functionals
- Asymptotical minimax recovery of sets with smooth boundaries
- Sur la distribution limite du terme maximum d'une série aléatoire
- The convex hull of a random sample in
- Detection of Abnormal Behavior Via Nonparametric Estimation of the Support
- Finding the edge of a Poisson forest
- The convex hull of a sample
This page was built for publication: Asymptotic behavior of samples from general multivariate distributions