Results 331 to 340 of about 2,762,871 (394)

Zonotoptic Fault Estimation for Discrete-Time LPV Systems With Bounded Parametric Uncertainty

IEEE transactions on intelligent transportation systems (Print), 2020
This paper presents a novel interval fault estimation approach by using zonotope technique for discrete-time linear parameter-varying systems in the presence of bounded parametric uncertainties, measured perturbation, and system disturbance.
Meng Zhou   +4 more
semanticscholar   +1 more source

Robust Parametric Estimation

Reproducible Econometrics Using R, 2019
This chapter looks at issues surrounding outliers in data and methods for addressing their presence.
J. Racine
semanticscholar   +1 more source

A survey on parametric QoE estimation for popular services

open access: yesJournal of Network and Computer Applications, 2017
As we are moving forward to the 5G era, we are witnessing a transformation in the way networks are designed and behave, with the end-user placed at the epicenter of any decision.
Dimitris Tsolkas   +2 more
exaly   +2 more sources

Parametric estimation with a class of M-estimators

Mathematical Methods of Statistics, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

A parametric approach to bispectrum estimation

ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
Higher order spectra provide information about processes not contained in the ordinary power spectrum such as the degree of nonlinearity and deviations from normality. The bispectrum which is a third order spectrum provides information about quadratic phase coupling among harmonic components.
Mysore R. Raghuveer   +1 more
openaire   +1 more source

Bispectrum estimation: A parametric approach

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1985
Higher order spectra contain information about random processes that is not contained in the ordinary power spectrum such as the degree of nonlinearity and deviations from normality. Estimation of the bispectrum, which is a third-order spectrum, has been applied in various fields to obtain information regarding quadratic phase coupling among harmonic ...
Raghuveer M. Rao, Chrysostomos L. Nikias
openaire   +1 more source

Non-parametric estimates of overlap

Statistics in Medicine, 2001
Kernel densities provide accurate non-parametric estimates of the overlapping coefficient or the proportion of similar responses (PSR) in two populations. Non-parametric estimates avoid strong assumptions on the shape of the populations, such as normality or equal variance, and possess sampling variation approaching that of parametric estimates.
R A, Stine, J F, Heyse
openaire   +2 more sources

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