Results 161 to 170 of about 41,557 (312)
The mathematics of asymptotic stability in the Kuramoto model. [PDF]
Proc Math Phys Eng Sci, 2018 Dietert H, Fernandez B.
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The Filament Extension Atomization Process for Powder Production of Elastic Fluids
Chemie Ingenieur Technik, EarlyView.Filament extension atomization is a promising technique for spraying a wide range of materials, enabling narrow droplet size distributions. This study examines the behavior of various fluids and suspensions to define application limits and identify optimal operating conditions.
Moritz Neukötter +4 more
wiley +1 more source
The Canadian Journal of Chemical Engineering, EarlyView.Schematic of the CO adsorption process in a fixed‐bed column containing pure NaY zeolite and Nb‐modified NaY (NaY–5%Nb). On the left, breakthrough curves and temperature profiles highlight the dynamic performance and thermal effects during CO adsorption.
Elson Oliveira +3 more
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Asymptotic properties of cross‐classified sampling designs
Canadian Journal of Statistics, EarlyView.Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
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Asymptotic stability of a modified Lotka-Volterra model with small immigrations. [PDF]
Sci Rep, 2018 Tahara T +13 more
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Bayesian inverse ensemble forecasting for COVID‐19
Canadian Journal of Statistics, EarlyView.Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
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Jackknife bias‐corrected variance estimation for the generalized regression estimator
Canadian Journal of Statistics, EarlyView.Abstract Commonly used variance estimators for the generalized regression estimator (GREG) are based on Taylor linearization and jackknife. Traditionally, a jackknife GREG variance estimator is obtained by jackknifing GREG, which consists of computing GREG from each of several subsamples of the parent sample, and estimating the variance of the parent ...
Marius Stefan, J.N.K Rao
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Nonlinear permuted Granger causality
Canadian Journal of Statistics, EarlyView.Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
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Global asymptotic stability of complex-valued neural networks with additive time-varying delays. [PDF]
Cogn Neurodyn, 2017 Subramanian K, Muthukumar P.
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Communications on Pure and Applied Mathematics, EarlyView.ABSTRACT The leading‐order asymptotic behavior of the solution of the Cauchy initial‐value problem for the Benjamin–Ono equation in L2(R)$L^2(\mathbb {R})$ is obtained explicitly for generic rational initial data u0$u_0$. An explicit asymptotic wave profile uZD(t,x;ε)$u^\mathrm{ZD}(t,x;\epsilon)$ is given, in terms of the branches of the multivalued ...
Elliot Blackstone +3 more
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