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OPTIMAL ROBUST ESTIMATES FOR SEMIPARAMETRIC SYMMETRIC LOCATION MODELS
Statistics & Risk Modeling, 1994Summary: This paper considers robust estimation for semiparametric symmetric location models. It is assumed that the data may have been contaminated and that the amount of contamination is shrinking as the sample size increases. We propose to use optimal robust estimates with influence functions which are bounded and which minimize the asymptotic mean ...
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Φp-optimal second order designs for symmetric regions
Journal of Statistical Planning and Inference, 1978Abstract Designs for quadratic regression on a cube, on a cube with truncated vertices and on a ball are studied in terms of a family of criteria, introduced by Kiefer (1974, 1975), that includes A-, D- and E-optimality. Both theoretical and numerical results on structure and performance are presented.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
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Optimal Petrov—Galerkin Methods through Approximate Symmetrization
IMA Journal of Numerical Analysis, 1981Barrett, J. W., Morton, K. W.
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Jordan algebraic approach to symmetric optimization
2007In this thesis we present a generalization of interior-point methods for linear optimization based on kernel functions to symmetric optimization. It covers the three standard cases of conic optimization: linear optimization, second-order cone optimization and semi-definite optimization.
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Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma
Ca-A Cancer Journal for Clinicians, 2020Aaron J Grossberg +2 more
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Oral complications of cancer and cancer therapy
Ca-A Cancer Journal for Clinicians, 2012Joel B Epstein +2 more
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