Results 41 to 50 of about 1,446 (155)

Mathematical model for elastic beams with longitudinally variable depth [PDF]

open access: yes, 2001
In this work we introduce a new mathematical model for elastic beams with a cross-section of constant width and longitudinally variable depth, obtained from the classical three-dimensional linear elasticity problem by using an asymptotic expansion ...
Samartín, Avelino   +2 more
core   +1 more source

Appraisement of planar, bending and twisting cracks in 3D with isotropic and orthotropic damage models [PDF]

open access: yes, 2018
The final publication is available at Springer via http://dx.doi.org/10.1007/s10704-018-0261-3This paper discusses the modeling of cracking in quasi-brittle materials using isotropic and orthotropic damage constitutive laws.
Barbat Vlad, Gabriel   +2 more
core   +2 more sources

Unconditional Variance Estimation Under Complex Surveys

open access: yesInternational Statistical Review, EarlyView.
Summary The unconditional framework treats the samples and the variables of interest as random variables. This is particularly suitable with analytic inference, when modelling survey data. We show that variance estimation does not involve finite population corrections and joint‐inclusion probabilities, even with large sampling fractions and under ...
Yves G. Berger
wiley   +1 more source

Specification Tests for Jump‐Diffusion Models Based on the Characteristic Function

open access: yesInternational Statistical Review, EarlyView.
Summary Goodness‐of‐fit tests are suggested for several popular jump‐diffusion processes. The suggested test statistics utilise the marginal characteristic function of the model and its L2‐type discrepancy from an empirical counterpart. Model parameters are estimated either by minimising the aforementioned L2‐type discrepancy or by maximum likelihood ...
Gerrit Lodewicus Grobler   +3 more
wiley   +1 more source

The Random Power Function for Tests Based on Pivotal Quantities

open access: yesInternational Statistical Review, EarlyView.
Summary In clinical trials planning, evaluation of the probability of success of an experiment is of central interest, for instance, in sample size determination. This assessment typically involves analyses of the power function of a test on a parameter of interest, such as a relevant treatment effect.
Fulvio De Santis   +2 more
wiley   +1 more source

A computer model of solar panel-plasma interactions [PDF]

open access: yes
High power solar arrays for satellite power systems are presently being planned with dimensions of kilometers, and with tens of kilovolts distributed over their surface.
Cooke, D. L., Freeman, J. W.
core   +1 more source

Vessel arrival planning with full information

open access: yesInternational Transactions in Operational Research, EarlyView.
Abstract Planning efficiency and timely arrival of vessels is crucial to smooth operations of maritime transport networks, ensuring optimal utilization of resources and minimizing operational costs. Coordination between vessel operators and terminals has the potential to reduce costs, fuel consumption, and waiting time.
Pim Willem Antoon van Leeuwen   +1 more
wiley   +1 more source

Application of Noise2Inverse and adaptation (Noise2Phase) to single‐mask x‐ray phase contrast micro‐computed tomography

open access: yesJournal of Microscopy, EarlyView.
Abstract X‐ray phase contrast imaging (XPCI), when implemented in micro‐computed tomography (micro‐CT) mode, offers high‐contrast 3D imaging of weakly‐attenuating material samples. In the so‐called single‐mask edge illumination approach, a mask with periodically spaced transmitting apertures is used to split the x‐ray beam into narrow beamlets; when ...
Khushal Shah   +8 more
wiley   +1 more source

A preconditioned formulation of the Cauchy-Riemann equations [PDF]

open access: yes
A preconditioning of the Cauchy-Riemann equations which results in a second-order system is described. This system is shown to have a unique solution if the boundary conditions are chosen carefully.
Phillips, T. N.
core   +1 more source

Markov Determinantal Point Process for Dynamic Random Sets

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley   +1 more source

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