Results 11 to 20 of about 894,939 (265)
Systematic bias of selected estimates applied in vertical displacement analysis
Journal of Geodetic Science, 2020 In surveying problems we almost always use unbiased estimators; however, even unbiased estimator might yield biased assessments, which is due to data.
Wyszkowska P., Duchnowski R.
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On Inconsistent $M$-Estimators
The Annals of Statistics, 1982 If $M$ is not convex, and the underlying density is multi-modal, $M$-estimators can be inconsistent. Examples are given, as well as some positive results.
Freedman, D. A., Diaconis, P.
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Remote Sensing, 2022 Terrestrial laser scanning (TLS) is a modern measurement technique that provides a point cloud in a relatively short time. TLS data are usually processed using different methods in order to obtain the final result (infrastructure or terrain models ...
Robert Duchnowski, Patrycja Wyszkowska
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Regularity and Uniqueness for Constrained M-Estimates and Redescending M-Estimates
The Annals of Statistics, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kent, John T., Tyler, David E.
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Parametric Estimation of Empirical Bayes of Traffic Intensity in M/M/1 Queue System [PDF]
تصمیم گیری و تحقیق در عملیات, 2018 Armero and Bayarri get Bayesian estimation from traffic intensity in M/M/1 model in 1994. Sharma and Kumar get Bayesian and classical estimations of different parameters of M/M/1 model under loss function in 1999. Furthermore, use of classical methods to
Ahmad Poordarvish, bahador hoseini
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Remote Sensing, 2023 Above-ground biomass (AGB) serves as an indicator of crop growth status, and acquiring timely AGB information is crucial for estimating crop yield and determining appropriate water and fertilizer inputs.
Weiguang Zhai +9 more
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M-Estimation as a Tool Supporting a Vessel Traffic Controller in the VTS System
Polish Maritime Research, 2015 In order to improve maritime safety and the efficiency of vessel traffic, systems supervising vessel traffic, i.e. VTS (Vessel Traffic Service), started to be created.
Świerczyński Sławomir +1 more
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The density of multivariate $M$-estimates [PDF]
The Annals of Statistics, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Almudevar, Anthony +2 more
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M-Estimators of Scatter with Eigenvalue Shrinkage [PDF]
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 A popular regularized (shrinkage) covariance estimator is the shrinkage sample covariance matrix (SCM) which shares the same set of eigenvectors as the SCM but shrinks its eigenvalues toward its grand mean. In this paper, a more general approach is considered in which the SCM is replaced by an M-estimator of scatter matrix and a fully automatic data ...
Palomar, Daniel P. +3 more
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Robust and sparse M-estimation of DOA
Signal Processing, 2023 A robust and sparse Direction of Arrival (DOA) estimator is derived for array data that follows a Complex Elliptically Symmetric (CES) distribution with zero-mean and finite second-order moments. The derivation allows to choose the loss function and four loss functions are discussed in detail: the Gauss loss which is the Maximum-Likelihood (ML) loss ...
Christoph F. Mecklenbräuker +3 more
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