Pages that link to "Item:Q1872833"
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The following pages link to On robustness and efficiency of minimum divergence estimators (Q1872833):
Displaying 19 items.
- Robustness of dual divergence estimators for models satisfying linear constraints (Q351393) (← links)
- Minimum disparity estimation based on combined disparities: asymptotic results (Q607184) (← links)
- Dual divergence estimators and tests: robustness results (Q608319) (← links)
- General bootstrap for dual \(\phi\)-divergence estimates (Q764446) (← links)
- Optimal robust estimates using the Kullback-Leibler divergence (Q947182) (← links)
- Parametric estimation and tests through divergences and the duality technique (Q958904) (← links)
- Efficiency versus robustness: The case for minimum Hellinger distance and related methods (Q1339709) (← links)
- Towards a better understanding of the dual representation of phi divergences (Q1785825) (← links)
- Minimum \(\phi\)-divergence estimation in misspecified multinomial models (Q1942912) (← links)
- Asymptotic distribution and robustness of minimum total variation distance estimators (Q2002934) (← links)
- Robust semiparametric inference for polytomous logistic regression with complex survey design (Q2051581) (← links)
- Gamma process-based models for disease progression (Q2241509) (← links)
- The B-exponential divergence and its generalizations with applications to parametric estimation (Q2324302) (← links)
- An estimation method for the Neyman chi-square divergence with application to test of hypoth\-e\-ses (Q2507763) (← links)
- Modified power divergence estimators in normal models -- simulation and comparative study (Q2919496) (← links)
- Limit Theorems for φ-Divergences Based on<i>k</i>-Spacings (Q3622082) (← links)
- Robust and efficient estimation by minimising a density power divergence (Q4216686) (← links)
- A Weighted Bootstrap Procedure for Divergence Minimization Problems (Q5283077) (← links)
- Minimum Divergence Methods in Statistical Machine Learning (Q5862723) (← links)