Estimation in a model with infinite-dimensional nuisance parameter.
Solev, V.N., Haghighi, F. (2004)
Journal of Mathematical Sciences (New York)
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Solev, V.N., Haghighi, F. (2004)
Journal of Mathematical Sciences (New York)
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J. Bartoszewicz (1977)
Applicationes Mathematicae
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H. Truszczyńska (1987)
Applicationes Mathematicae
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Krzysztof B. Janiszowski, Paweł Wnuk (2016)
International Journal of Applied Mathematics and Computer Science
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An approach to estimation of a parametric discrete-time model of a process in the case of some a priori knowledge of the investigated process properties is presented. The knowledge of plant properties is introduced in the form of linear bounds, which can be determined for the coefficient vector of the parametric model studied. The approach yields special biased estimation of model coefficients that preserves demanded properties. A formula for estimation of the model coefficients is derived...
Beniamin Goldys (1985)
Banach Center Publications
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S. Trybuła (1974)
Applicationes Mathematicae
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Jelena Bulatović, Alobodanka Janjić (1979)
Publications de l'Institut Mathématique
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Tabatabai, M.A. (1995)
Southwest Journal of Pure and Applied Mathematics [electronic only]
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Jurjen Duintjer Tebbens, Ctirad Matonoha, Andreas Matthios, Štěpán Papáček (2019)
Applications of Mathematics
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A pharmacodynamic model introduced earlier in the literature for in silico prediction of rifampicin-induced CYP3A4 enzyme production is described and some aspects of the involved curve-fitting based parameter estimation are discussed. Validation with our own laboratory data shows that the quality of the fit is particularly sensitive with respect to an unknown parameter representing the concentration of the nuclear receptor PXR (pregnane X receptor). A detailed analysis of the influence...
Carine Jauberthie, Louise Travé-Massuyès, Nathalie Verdière (2016)
International Journal of Applied Mathematics and Computer Science
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Identifiability guarantees that the mathematical model of a dynamic system is well defined in the sense that it maps unambiguously its parameters to the output trajectories. This paper casts identifiability in a set-membership (SM) framework and relates recently introduced properties, namely, SM-identifiability, μ-SM-identifiability, and ε-SM-identifiability, to the properties of parameter estimation problems. Soundness and ε-consistency are proposed to characterize these problems and...
H.I. Hamdy, M. Al-Mahmeed (1990)
Metrika
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Ingster, Yu., Suslina, I. (2005)
Zapiski Nauchnykh Seminarov POMI
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Acu, Dumitru (1996)
General Mathematics
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Bogusława Bednarek-Kozek (1973)
Applicationes Mathematicae
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Stanisław Trybuła (2002)
Applicationes Mathematicae
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The problem of minimax estimation of parameters of multinomial distribution is considered for a loss function being the sum of the losses of the statisticians taking part in the estimation process.
D. Chapelle, A. Gariah, P. Moireau, J. Sainte-Marie (2013)
ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique
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We address the issue of parameter variations in POD approximations of time-dependent problems, without any specific restriction on the form of parameter dependence. Considering a parabolic model problem, we propose a POD construction strategy allowing us to obtain some error estimates controlled by the POD remainder – in the construction procedure – and some parameter-wise interpolation errors for the model solutions. We provide a thorough numerical assessment of this strategy with the...
Norbert Gaffke, Berthold Heiligers (2000)
Discussiones Mathematicae Probability and Statistics
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We discuss two numerical approaches to linear minimax estimation in linear models under ellipsoidal parameter restrictions. The first attacks the problem directly, by minimizing the maximum risk among the estimators. The second method is based on the duality between minimax and Bayes estimation, and aims at finding a least favorable prior distribution.
W. Näther, J. Pilz (1980)
Applicationes Mathematicae
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