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.
Arnak Dalalyan, Nakahiro Yoshida (2011)
Annales de l'I.H.P. Probabilités et statistiques
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In this paper, we consider the problem of estimating the covariation of two diffusion processes when observations are subject to non-synchronicity. Building on recent papers [ (2005) 359–379, (2008) 367–406], we derive second-order asymptotic expansions for the distribution of the Hayashi–Yoshida estimator in a fairly general setup including random sampling schemes and non-anticipative random drifts. The key steps leading to our results are a second-order...