Results 101 to 110 of about 50,402 (312)
Time‐Division Multiplexing for Parallel Transmission at Ultra‐High Field With Limited RF Channels
ABSTRACT Purpose Investigating time‐division multiplexing for parallel transmission in ultra high‐field imaging, striving for homogeneous whole brain excitation with a limited number of RF channels. Methods A fast RF switch was built to alternately route 8 transmit channels to each row of a double‐row 16‐element transmit coil array at a 9.4 T human MRI
Felix Glang +4 more
wiley +1 more source
In income and wealth data modeling Pareto distribution and its several variants play an important role. Both univariate and multivariate variations of this model have been extensively used as a suitable model for various non-negative socio-economic ...
Indranil Ghosh
doaj +1 more source
Asymptotic behaviour of regular estimators
The P.O.T. (Peaks-Over-Threshold) approach consists of using the generalized Pareto distribution (GPD) to approximate the distribution of excesses over thresholds.
Jean Diebolt , Armelle Guillou
doaj +1 more source
The response of dispersers to landscape changes depends on both external environmental conditions and individual internal conditions, as well as movement and orientation abilities. Plasticity in habitat selection may also affect how individuals respond to landscape changes.
Érika Garcez da Rocha +4 more
wiley +1 more source
A unified generalized family of distributions: Properties, inference, and real-life applications
A fully parametric family of distributions called the new generalized family (NGF) is proposed. The cumulative distribution function of the proposed NGF is constructed based on the reciprocal of the hazard rate function. Furthermore, a special sub-family
Mashhood Ahmad +4 more
doaj +1 more source
Bayesian Sensitivity Analysis for VaR and CVaR Employing Distorted Band Priors
In the context of robust Bayesian analysis, studies mainly focus on computing the range of some quantities of interest when the prior distribution varies in a class.
José Pablo Arias-Nicolás +3 more
doaj +1 more source
Extreme Value Theory for Tail-Related Risk Measures [PDF]
Many fields of modern science and engineering have to deal with events which are rare but have significant consequences. Extreme value theory is considered to provide the basis for the statistical modeling of such extremes. The potential of extreme value
Evis Këllezi, Manfred Gilli
core
Solid Particle Erosion and Predictive Modeling of Epoxy Composites Reinforced With Diatom Frustules
Schematic representation of the solid particle erosion process and predictive modeling workflow for diatom frustule‐reinforced epoxy composites, illustrating the test setup, erosion response curve, and filler‐matrix interaction. ABSTRACT This study examines the solid particle erosion wear behavior of epoxy composites reinforced with 5–20 wt% calcined ...
Elif Gültürk +4 more
wiley +1 more source
An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson +4 more
wiley +1 more source
The results of probabilistic event attribution studies depend on the choice of the extreme value statistics used in the analysis, particularly with the arbitrariness in the selection of appropriate thresholds to define extremes.
J. S. Nanditha +3 more
doaj +1 more source

