Results 11 to 20 of about 1,691,919 (306)
Relative Efficiency of Maximum Likelihood and Other Estimators in a Nonlinear Regression Model with Small Measurement Errors [PDF]
, 2004 We compare the asymptotic covariance matrix of the ML estimator in a nonlinear measurement error model to the asymptotic covariance matrices of the CS and SQS estimators studied in Kukush et al (2002). For small measurement error variances they are equal
Kukush, Alexander, Schneeweiß, Hans
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Robust Relative Error Estimation [PDF]
Entropy, 2018 Relative error estimation has been recently used in regression analysis. A crucial issue of the existing relative error estimation procedures is that they are sensitive to outliers. To address this issue, we employ the γ -likelihood function, which is constructed through γ -cross entropy with keeping the original statistical model in use. The
Kei Hirose, Hiroki Masuda
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On the accuracy of aposteriori error estimators
Lietuvos Matematikos Rinkinys, 2000 The analysis of the accuracy of the a posteriori error estimation procedure for finite-element solutions is presented. Simple error estimators of residual type are constructed, they allow error estimation in any norm with little extra effort.
Raimondas Čiegis, Olga Suboč
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Journal of Mathematical and Fundamental Sciences, 2019 This paper proposes two new classes of ratio estimators for population mean when information on a known auxiliary variable is available in simple random sampling.
Uraiwan Jaroengeratikun, Nuanpan Lawson
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Model Selection and Error Estimation [PDF]
Machine Learning, 2000 We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalization: any good error estimate may be converted into a data-based penalty function and the performance of the estimate is governed by the quality of the error estimate.
Peter L. Bartlett +2 more
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The polynomial and the Poisson measurement error models: some further results on quasi score and corrected score estimation [PDF]
, 2005 The asymptotic covariance matrices of the corrected score, the quasi score, and the simple score estimators of a polynomial measurement error model have been derived in the literature.
Schneeweiß, Hans
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مجلة بغداد للعلوم, 2013 In this paper, Bayes estimators of the parameter of Maxwell distribution have been derived along with maximum likelihood estimator. The non-informative priors; Jeffreys and the extension of Jeffreys prior information has been considered under two ...
Baghdad Science Journal
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Estimation error of the constrained lasso [PDF]
2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2016 This paper presents a non-asymptotic upper bound for the estimation error of the constrained lasso, under the high-dimensional (n ≪ p) setting. In contrast to existing results, the error bound in this paper is sharp, is valid when the parameter to be estimated is not exactly sparse (e.g., when it is weakly sparse), and shows explicitly the effect of ...
Nissim Zerbib +3 more
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The estimation of truncation error by τ-estimation revisited [PDF]
Journal of Computational Physics, 2012 The aim of this paper was to accurately estimate the local truncation error of partial differential equations, that are numerically solved using a finite difference or finite volume approach on structured and unstructured meshes. In this work, we approximated the local truncation error using the @t-estimation procedure, which aims to compare the ...
Fraysse, François +2 more
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Journal of Mathematics, 2021 In this paper, we proposed an improved family of estimators for finite population mean under stratified random sampling, which needed a helping variable on the sample mean and rank of the auxiliary variable.
Sohaib Ahmad +5 more
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