Generalized Wald-type tests based on minimum density power divergence estimators
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Publication:5739647
DOI10.1080/02331888.2015.1016435zbMath1342.62042arXiv1403.7616OpenAlexW2005275145MaRDI QIDQ5739647
Ayanendranath Basu, Nirian Martín, Abhijit Mandal, Leandro Pardo
Publication date: 19 July 2016
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1403.7616
Parametric hypothesis testing (62F03) Robustness and adaptive procedures (parametric inference) (62F35)
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Cites Work
- Unnamed Item
- Robust estimation for independent non-homogeneous observations using density power divergence with applications to linear regression
- Testing statistical hypotheses based on the density power divergence
- A comparison of related density-based minimum divergence estimators
- Nonnull asymptotic distributions of the LR, Wald, score and gradient statistics in generalized linear models with dispersion covariates
- Likelihood ratio tests with boundary constraints using data-dependent degrees of freedom
- Most Powerful Rank-type Tests
- Approximation Theorems of Mathematical Statistics
- Smoothing the Bootstrap
- Robust and efficient estimation by minimising a density power divergence
- On asymptotic tests of composite hypotheses in nonstandard conditions
- Comparison of estimation methods for the Weibull distribution
- Choosing a robustness tuning parameter
- On the Distribution of the Likelihood Ratio
- Statistical Inference
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