Bandwidth choice for local polynomial estimation of smooth boundaries
From MaRDI portal
Publication:1888331
DOI10.1016/j.jmva.2003.10.002zbMath1056.62050OpenAlexW2034605197MaRDI QIDQ1888331
Publication date: 23 November 2004
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2003.10.002
BootstrapLocal bandwidthBandwidth choiceGlobal bandwidthLocal polynomial methodsNonparametric curve estimation
Density estimation (62G07) Asymptotic distribution theory in statistics (62E20) Nonparametric statistical resampling methods (62G09)
Related Items
Nonparametric ``regression when errors are positioned at end-points, Frontier estimation with kernel regression on high order moments, Estimation and hypotheses testing in boundary regression models, An optimal choice for the bandwidth parameter in local polynomial estimation of the conditional distribution function, Frontier estimation via kernel regression on high power-transformed data, Simultaneous control of false positives and false negatives in multiple hypotheses testing, Modifying the double smoothing bandwidth selector in nonparametric regression, Estimation in Nonparametric Regression with Non-Regular Errors, Frontier estimation with local polynomials and high power-transformed data
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On polynomial estimators of frontiers and boundaries
- Local likelihood density estimation
- Locally parametric nonparametric density estimation
- On local likelihood density estimation
- Efficient estimation of monotone boundaries
- Estimation of non-sharp support boundaries
- Goodness-of-fit test for linear models based on local polynomials
- Bootstrapping local polynomial estimators in likelihood-based models
- THE FDH ESTIMATOR FOR PRODUCTIVITY EFFICIENCY SCORES
- Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation
- Testing for Polynomial Regression Using Nonparametric Regression Techniques
- Local Polynomial Estimation in Multiparameter Likelihood Models
- On Estimation of Monotone and Concave Frontier Functions
- Estimation of a support curve via order statistics