Results 61 to 70 of about 1,147,771 (298)

Stochastic models of population extinction

open access: yes, 2010
Theoretical ecologists have long sought to understand how the persistence of populations depends on biotic and abiotic factors. Classical work showed that demographic stochasticity causes the mean time to extinction to increase exponentially with ...
Meerson, Baruch, Ovaskainen, Otso
core   +1 more source

A new approach for shrinkage estimators of the multivariate normal mean vector under the balanced loss criterion

open access: yesFrontiers in Applied Mathematics and Statistics
In this study, we investigate the issue of estimating the mean vector of a multivariate normal distribution. We introduce two new families of shrinkage estimators derived from both the maximum likelihood estimator and the James-Stein estimator.
Najla M. ALoraini   +2 more
doaj   +1 more source

Aplicação do modelo de pulsos retangulares de Bartlett-Lewis modificado para estimativa de eventos extremos de precipitação The application of the modified Bartlett-Lewis rectangular-pulses model to estimate extreme precipitation events

open access: yesEngenharia Agrícola, 2010
Este trabalho teve como objetivo avaliar a modelagem matemática da precipitação pluviométrica horária por meio do modelo de Bartlett-Lewis modificado com seis parâmetros e sua aplicação para estimativa de eventos extremos.
Álvaro J. Back, Edison Uggioni
doaj   +1 more source

Deterministic Detection of Single Ion Implantation

open access: yesAdvanced Engineering Materials, EarlyView.
Focused ion beam implantation with high detection efficiencies will enable the rapid and scalable fabrication of advanced spin‐based technologies such as qubits. This work presents the detection efficiencies of a wide range of ions implanted into solid‐state hosts, with efficiencies of >90% recorded for ion species and substrate combinations of ...
Mason Adshead   +6 more
wiley   +1 more source

Threshold stochastic unit root models [PDF]

open access: yes, 2002
This paper introduces a new class of stochastic unit root (STUR) processes, where the randomness of the autorregresive unit root is driven by a threshold variable.
Gonzalo, Jesús, Montesinos, Raquel
core   +1 more source

Multifunctional Crushing and Piezoresistive Self‐Sensing in Conductive Epoxy/CNT‐Coated Polyetherimide TPMS Lattices

open access: yesAdvanced Engineering Materials, EarlyView.
This study reports lightweight polyetherimide triply periodic minimal surfaces lattices coated with carbon nanotube‐reinforced epoxy that combine mechanical robustness with self‐sensing. The conformal coating enhances stiffness, strength and energy absorption while enabling reliable strain monitoring.
A. Triay   +3 more
wiley   +1 more source

Critical scaling of stochastic epidemic models

open access: yes, 2007
In the simple mean-field SIS and SIR epidemic models, infection is transmitted from infectious to susceptible members of a finite population by independent $p-$coin tosses.
Lalley, Steven P.
core   +2 more sources

Local Linear Regression for Functional Ergodic Data with Missing at Random Responses

open access: yesMathematics
In this article, we develop a novel kernel-based estimation framework for functional regression models in the presence of missing responses, with particular emphasis on the Missing At Random (MAR) mechanism.
Yassine Baghli   +2 more
doaj   +1 more source

Special Issue on “Terrestrial Laser Scanning”: Editors’ Notes

open access: yesSensors, 2019
In this editorial, we provide an overview of the content of the special issue on “Terrestrial Laser Scanning”. The aim of this Special Issue is to bring together innovative developments and applications of terrestrial laser scanning (TLS ...
Joan R. Rosell-Polo   +2 more
doaj   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier   +17 more
wiley   +1 more source

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