Results 271 to 280 of about 439,420 (307)

Robust frequency estimation

International Conference on Acoustics, Speech, and Signal Processing, 2003
A robust estimation method for frequencies of received signals is investigated. The received signals are represented as the sum of sinusoidal signals and an additive noise process. The additive noise is assumed to be a mixture of a Gaussian and an outlier process.
Sang-Geun Oh, R. L. Kashyap
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On the robustness of batching estimators

Operations Research Letters, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yingchieh Yeh, Bruce W. Schmeiser
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Estimating robustness

Journal of Economic Theory, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Robustness and the robust estimate

Journal of Geodesy, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Robust Estimation Through Estimating Equations

Biometrika, 1984
The paper deals with the choice of parameter definition. It develops the concepts of parameter defining function and effective parameter. It also provides theory and techniques for choosing from a given set of robust parameters the one that can most efficiently be estimated. This theory is applied to location parameters.
Godambe, V. P., Thompson, M. E.
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Robust m-estimators

Econometric Reviews, 1990
This paper provides a summary of the influence function approach to robust estimation of parametric models. Hampel's optimality results for M-estimators with a bounded influence function is generalized to allow for arbitrary choices of the asymptotic efficiency criterion and the norm of the influence function.
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Robustness in parameter estimation

IEEE Transactions on Information Theory, 1977
A constructive approach to robust parameter estimation that carries over naturally to the nonparametric estimation is presented. Vagueness in previous notions of "robustness" has prevented such a connection from being made. To eliminate vagueness, robustness is defined in a precise mathematical way that leads to isolation of constructive analytical ...
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Robust pose estimation

IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 1999
Standard least-squares (LS) methods for pose estimation of objects are sensitive to outliers which can occur due to mismatches. Even a single mismatch can severely distort the estimated pose. This paper describes a least-median of squares (LMedS) approach to estimating pose using point matches.
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Robust Maximum Likelihood Estimation

INFORMS Journal on Computing, 2019
In many applications, statistical estimators serve to derive conclusions from data, for example, in finance, medical decision making, and clinical trials. However, the conclusions are typically dependent on uncertainties in the data. We use robust optimization principles to provide robust maximum likelihood estimators that are protected against data ...
Dimitris Bertsimas, Omid Nohadani
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Robust Estimators for Estimating Discontinuous Functions

Metrika, 2002
We study the asymptotic behavior of a wide class of kernel estimators for estimating an unknown regression function. In particular we derive the asymptotic behavior at discontinuity points of the regression function. It turns out that some kernel estimators based on outlier robust estimators are consistent at jumps.
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