Efficient and robust tests for semiparametric models
From MaRDI portal
Publication:1656860
DOI10.1007/s10463-017-0608-yzbMath1404.62047OpenAlexW2594557247MaRDI QIDQ1656860
Jingjing Wu, Rohana J. Karunamuni
Publication date: 10 August 2018
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10463-017-0608-y
Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35)
Related Items (4)
Regularized robust estimation in binary regression models ⋮ Minimum profile hellinger distance estimation of semiparametric multiple linear regression models ⋮ Minimum Hellinger distance estimation for a semiparametric location-shifted mixture model ⋮ Minimum profile Hellinger distance estimation for semiparametric simple linear regression model
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Minimum distance estimation in a finite mixture regression model
- Efficient Hellinger distance estimates for semiparametric models
- \(L_{2}E\) estimation of mixture complexity for count data
- Minimum Hellinger distance estimation in a two-sample semiparametric model
- Minimum Hellinger distance estimation in a nonparametric mixture model
- Robust estimation of mixture complexity for count data
- Contributions to a general asymptotic statistical theory. With the assistance of W. Wefelmeyer
- Efficient estimation in the errors in variables model
- On adaptive estimation
- An efficient and robust adaptive estimator of location
- Minimum Hellinger distance estimates for parametric models
- Efficiency versus robustness: The case for minimum Hellinger distance and related methods
- Semiparametric likelihood ratio inference
- Robust and efficient estimation of effective dose
- Efficient maximum likelihood estimation in semiparametric mixture models
- Likelihood inference in the errors-in-variables model
- Testing statistical hypotheses based on the density power divergence
- One-step minimum Hellinger distance estimation
- Introduction to empirical processes and semiparametric inference
- Robust Estimation of Mixture Complexity
- Profile Hellinger distance estimation
- On minimum Hellinger distance estimation
- Minimum Hellinger Distance Estimation for the Analysis of Count Data
- On Profile Likelihood
- Generalized Wald-type tests based on minimum density power divergence estimators
- Statistical Inference
- Robust Statistics
This page was built for publication: Efficient and robust tests for semiparametric models