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Redescending M-estimators [PDF]
Journal of Statistical Planning and Inference, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shevlyakov, Georgy +2 more
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Enhancing Image Quality via Robust Noise Filtering Using Redescending M-Estimators [PDF]
Entropy, 2023 In the field of image processing, noise represents an unwanted component that can occur during signal acquisition, transmission, and storage. In this paper, we introduce an efficient method that incorporates redescending M-estimators within the framework
Ángel Arturo Rendón-Castro +3 more
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Robust M-Estimators on Spheres [PDF]
Journal of Multivariate Analysis, 1993 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ko, D.J., Chang, T.
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A robust methodology for finite population mean estimation based on Generalized M estimation [PDF]
Scientific ReportsClassical regression type estimators in survey sampling often suffer from inefficiency and instability in the presence of outliers and model deviations.
Khaled Ali Abuhasel
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A Geometric Estimation Technique Based on Adaptive M-Estimators: Algorithm and Applications
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Robust fitting is a basic technique and has been widely applied in photogrammetry and remote sensing, such as geometric correction. As known, typical robust estimators (include M-estimators, S-estimators, MM-estimators, etc.) often fail when outlier rate
Jiayuan Li +3 more
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Generalized Shrunken-Type M Estimation [PDF]
The Egyptian Statistical Journal, 2003 It is important in regression analysis to detect the leverage data points that exert an unduly large effect on the least squares estimation. However, in practical situations, the existence of leverage data points is complicated by the presence of ...
Moawad El- Fallah Abd El-Salam
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The Astrophysical Journal, 2023 We present bolometric luminosity ( L _bol ) and black hole (BH) mass ( M _BH ) estimators based on mid-infrared (MIR) continuum luminosity (hereafter, L _MIR ) that are measured from infrared (IR) photometric data.
Dohyeong Kim +6 more
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M-estimators for isotonic regression [PDF]
Journal of Statistical Planning and Inference, 2012 In this paper we propose a family of robust estimates for isotonic regression: isotonic M-estimators. We show that their asymptotic distribution is, up to an scalar factor, the same as that of Brunk's classical isotonic estimator. We also derive the influence function and the breakdown point of these estimates.
Alvarez, Enrique Ernesto +1 more
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Bayesian Estimation of a Linear Parametric Function Using Doubly Censored Data [PDF]
The Egyptian Statistical Journal, 2001 On the basis of a doubly censored random sample drawn from a shifted exponential distribution with scale parameter and location m, and in a Bayesian framework, we considering the problem of estimating ,m, and the linear function m+aθ.
Mohamed Madi
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Highly Robust Complex Covariance Estimators With Applications to Sensor Array Processing
IEEE Open Journal of Signal Processing, 2023 Many applications in signal processing require the estimation of mean and covariance matrices of multivariate complex-valued data. Often, the data are non-Gaussian and are corrupted by outliers or impulsive noise.
Justin A. Fishbone, Lamine Mili
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