Defining extremes and trimming by minimum covering sets
From MaRDI portal
Publication:916195
DOI10.1016/0304-4149(90)90130-KzbMath0703.60015OpenAlexW2016723951MaRDI QIDQ916195
Publication date: 1990
Published in: Stochastic Processes and their Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0304-4149(90)90130-k
asymptotic normalitymultivariate extremesrobust location estimatorsufficient conditions for consistency
Nonparametric robustness (62G35) Central limit and other weak theorems (60F05) Sums of independent random variables; random walks (60G50)
Related Items (3)
Robust Winsorized Regression Using Bootstrap Approach ⋮ Limit laws for multidimensional extremes ⋮ Multivariate stability and strong limiting behaviour of intermediate order statistics
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- What portion of the sample makes a partial sum asymptotically stable or normal?
- Matrix normalized sums of independent identically distributed random vectors
- Limit theorems for convex hulls
- The asymptotic distribution of trimmed sums
- Asymptotic normality of trimmed means in higher dimensions
- Matrix normalization of sums of random vectors in the domain of attraction of the multivariate normal
- The multidimensional central limit theorem for arrays normed by affine transformations
- A bivariate stable characterization and domains of attraction
- Asymptotic normality and subsequential limits of trimmed sums
- The asymptotic distribution of the trimmed mean
- The Extreme Terms of a Sample and Their Role in the Sum of Independent Variables
- Asymptotic normality of lightly trimmed means – a converse
- Evaluating inclusion functionals for random convex hulls
- On the limit distributions of lightly trimmed sums
- The convex hull of a random sample in
- The central limit problem for trimmed sums
- What is Projection Pursuit?
- Estimation of Correlation Coefficients by Ellipsoidal Trimming
- Minimum Covering Ellipses
- The convex hull of a spherically symmetric sample
- Optimal design: Some geometrical aspects of D-optimality
- Limit theory for multivariate sample extremes
- The probability that two samples in the plane will have disjoint convex hulls
- On the Extreme Terms of a Sample From the Domain of Attraction of a Stable Law
- Sur L'enveloppe convexe des nuages de points aleatoires dans Rn. I
- [https://portal.mardi4nfdi.de/wiki/Publication:5588965 Die konvexe H�lle von n rotationssymmetrisch verteilten Punkten]
- Non-Parametric Estimation II. Statistically Equivalent Blocks and Tolerance Regions--The Continuous Case
- THE COVERING CIRCLE OF A SAMPLE FROM A CIRCULAR NORMAL DISTRIBUTION
- An Extension of Wilks' Method for Setting Tolerance Limits
This page was built for publication: Defining extremes and trimming by minimum covering sets
