Robust Statistical Engineering by Means of Scaled Bregman Distances
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Publication:2963609
DOI10.1007/978-81-322-3643-6_5zbMath1359.62091OpenAlexW2552622259MaRDI QIDQ2963609
Anna-Lena Kißlinger, Wolfgang Stummer
Publication date: 15 February 2017
Published in: Recent Advances in Robust Statistics: Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-81-322-3643-6_5
Parametric hypothesis testing (62F03) Robustness and adaptive procedures (parametric inference) (62F35) Computing methodologies for image processing (68U10) Statistical aspects of information-theoretic topics (62B10)
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Cites Work
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- Robust estimation for independent non-homogeneous observations using density power divergence with applications to linear regression
- Why least squares and maximum entropy? An axiomatic approach to inference for linear inverse problems
- Goodness-of-fit statistics for discrete multivariate data
- Theory of statistical inference and information. Transl. from the Slovak by the author
- Minimum Hellinger distance estimates for parametric models
- On disparity based goodness-of-fit tests for multinomial models
- Efficiency versus robustness: The case for minimum Hellinger distance and related methods
- Minimum disparity estimation for continuous models: Efficiency, distributions and robustness
- Generalized projections for non-negative functions
- Testing statistical hypotheses based on the density power divergence
- Robust tests for the equality of two normal means based on the density power divergence
- Divergence statistics: sampling properties and multinomial goodness of fit and divergence tests
- On asymptotic properties of information-theoretic divergences
- On Divergences and Informations in Statistics and Information Theory
- THE DISTRIBUTION OF GENERAL QUADRATIC FORMS IN NORMA
- Robust and efficient estimation by minimising a density power divergence
- About distances of discrete distributions satisfying the data processing theorem of information theory
- On Bregman Distances and Divergences of Probability Measures
- Series Representations of Distributions of Quadratic Forms in Normal Variables. I. Central Case
- Statistical Inference
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