On the ‘optimal’ density power divergence tuning parameter

DOI10.1080/02664763.2020.1736524OpenAlexW3010902293MaRDI QIDQ5861532

Sancharee Basak, M. C. Jones, Ayanendranath Basu

Publication date: 1 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2020.1736524

zbMATH Keywords

pilot estimatoroptimal tuning parameteriterated Warwick-Jones algorithmone-step Warwick-Jones algorithmsummed mean square error

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

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Cites Work

• Unnamed Item
• Unnamed Item
• Robust estimation for independent non-homogeneous observations using density power divergence with applications to linear regression
• Do robust estimators work with real data?
• Minimum density power divergence estimator for Poisson autoregressive models
• Minimum Hellinger Distance Estimation for the Analysis of Count Data
• Trimmed Least Squares Estimation in the Linear Model
• Robust and efficient estimation by minimising a density power divergence
• Robust estimation of conditional variance of time series using density power divergences
• Robust estimation for non-homogeneous data and the selection of the optimal tuning parameter: the density power divergence approach
• Choosing a robustness tuning parameter
• Statistical Inference

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