Nonlinear error propagation law
Lubomír Kubáček (1996)
Applications of Mathematics
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The error propagation law is investigated in the case of a nonlinear function of measured data with non-negligible uncertainty.
Lubomír Kubáček (1996)
Applications of Mathematics
Similarity:
The error propagation law is investigated in the case of a nonlinear function of measured data with non-negligible uncertainty.
Mikhail S. Nikulin, Vassiliy G. Voinov (1995)
Qüestiió
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An analytical problem, which arises in the statistical problem of comparing the means of two normal distributions, the variances of which -as well as their ratio- are unknown, is well known in the mathematical statistics as the Behrens-Fisher problem. One generalization of the Behrens-Fisher problem and different aspect concerning the estimation of the common mean of several independent normal distributions with different variances are considered and one solution is proposed. ...
Fabio Fornari, Carlo Monticelli (1998)
Journal de la société française de statistique
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A. Goldenshluger, A. Juditsky, A. B. Tsybakov, A. Zeevi (2008)
Annales de l'I.H.P. Probabilités et statistiques
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We consider the problem of nonparametric estimation of signal singularities from indirect and noisy observations. Here by singularity, we mean a discontinuity (change-point) of the signal or of its derivative. The model of indirect observations we consider is that of a linear transform of the signal, observed in white noise. The estimation problem is analyzed in a minimax framework. We provide lower bounds for minimax risks and propose rate-optimal estimation procedures.