Asymptotic properties of perturbed empirical distribution functions evaluated at a random point
DOI10.1016/0378-3758(88)90073-0zbMath0641.62013OpenAlexW2033532046MaRDI QIDQ1100824
Publication date: 1988
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(88)90073-0
invariance principleU-statisticslaw of iterated logarithmalmost sure representationperturbed empirical distribution function
Asymptotic distribution theory in statistics (62E20) Central limit and other weak theorems (60F05) Order statistics; empirical distribution functions (62G30) Functional limit theorems; invariance principles (60F17)
Related Items (8)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Central limit theorem for perturbed empirical distribution functions evaluated at a random point
- Nonparametric Prediction Intervals for a Future Sample Median
- Convergence rate of perturbed empirical distribution functions
- The Sample Mean Among the Moderate Order Statistics
- A Note on Quantiles in Large Samples
- Some New Estimates for Distribution Functions
- Sequential Confidence Intervals Based on Rank Tests
- Estimation of a Probability Density Function and Its Derivatives
- On the Sign Test for Symmetry
- On the Proportion of Observations Above Sample Means in a Bivariate Normal Distribution
- On a Measure of Dependence Between two Random Variables
This page was built for publication: Asymptotic properties of perturbed empirical distribution functions evaluated at a random point