Relative error prediction for twice censored data
From MaRDI portal
Publication:2304847
DOI10.3103/S1066530719040045zbMath1444.62042OpenAlexW3001575061WikidataQ126288498 ScholiaQ126288498MaRDI QIDQ2304847
Publication date: 13 March 2020
Published in: Mathematical Methods of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3103/s1066530719040045
consistencyasymptotic normalitytwice censored datarelative regressionmean squared relative errorPatilea-Rollin estimator
Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Censored data models (62N01) Nonparametric tolerance and confidence regions (62G15)
Related Items (3)
Strong uniform consistency of the local linear relative error regression estimator under left truncation ⋮ Relative error prediction: Strong uniform consistency for censoring time series model ⋮ Nonparametric local linear estimation of the relative error regression function for twice censored data
Cites Work
- Unnamed Item
- Unnamed Item
- Nonparametric quantile regression for twice censored data
- On the strong uniform consistency of the mode estimator for censored time series
- A law of the iterated logarithm for the product limit estimator with doubly censored data
- Rate of the almost complete convergence of a kernel regression estimate with twice censored data
- Relative error prediction via kernel regression smoothers
- Relative-error prediction
- Strong universal pointwise consistency of recursive regression estimates
- Nonparametric relative error regression for spatial random variables
- Optimal global rates of convergence for nonparametric regression
- Rates of strong uniform consistency for multivariate kernel density estimators. (Vitesse de convergence uniforme presque sûre pour des estimateurs à noyaux de densités multivariées)
- Weak convergence and empirical processes. With applications to statistics
- Multivariate plug-in bandwidth selection
- Uniform rate of strong consistency for a smooth kernel estimator of the conditional mode for censored time series
- Nonparametric relative regression under random censorship model
- Product-limit estimators of the survival function with twice censored data
- Some asymptotic properties for a smooth kernel estimator of the conditional mode under random censorship
- Estimation of Multiple Linear Regression Model with Twice-Censored Data
- Bayesian survival estimation for incomplete data when the life distribution is proportionally related to the censoring time
- Nonparametric Estimation from Incomplete Observations
- Linear regression with censored data
- A LIL type result for the product limit estimator
- Predicting software errors, during development, using nonlinear regression models: a comparative study
- Prediction, Linear Regression and the Minimum Sum of Relative Errors
- Nonparametric regression estimation using penalized least squares
- Randomly censored quantile regression estimation using functional stationary ergodic data
- Inference and Prediction in Large Dimensions
- A generalized two-sample Wilcoxon test for doubly censored data
- New concentration inequalities in product spaces
This page was built for publication: Relative error prediction for twice censored data
