Results 61 to 70 of about 11,015,118 (220)
Matrix Pencil Method Using Fourth-Order Cumulant
, 2020 Introduction In recent years, higher order cumulant-based methods, such as fourth-order cumulant, have received increasing interest due to their advantage over secondorder statistics. The Matrix Pencil method(MPM) can be used when the received signals of
Yisu Wang +3 more
core
Dianzi Jishu Yingyong, 2018 In order to improve the accuracy and effectiveness of probabilistic power flow analysis in modern power system, a reduced order extended cumulant estimation method for probabilistic power flow Cornish-Fisher series(CFM) considering uncertain photovoltaic
Liu Yuanyuan
doaj +1 more source
Small, EarlyView.Repositioning side chains (para→meta) provides a composition‐invariant handle to program conjugated‐polymer chain geometry. The resulting worm‐like, kink‐suppressed conformation delivers >5× higher intrinsic photostability and enhanced resistance to energetic particle damage.
Eonji Kim +11 more
wiley +1 more source
New Journal of Physics, 2014 We consider stochastic and open quantum systems with a finite number of states, where a stochastic transition between two specific states is monitored by a detector.
M Bruderer +5 more
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Importance of non-flow in mixed-harmonic multi-particle correlations in small collision systems
Physics Letters B, 2018 Recently CMS Collaboration measured mixed-harmonic four-particle azimuthal correlations, known as symmetric cumulants SC(n,m), in pp and p+Pb collisions, and interpreted the non-zero SC(n,m) as evidence for long-range collectivity in these small ...
Peng Huo +3 more
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Specification Tests for Jump‐Diffusion Models Based on the Characteristic Function
International 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
Jixie qiangdu, 2019 Aiming at the problem that the fault information of rolling bearing was weak and susceptible to noise, which was difficult to judge the damage degree of bearing failure, a new method was proposed.
JIANG ZhangLei +3 more
doaj
Sparse Causal Dynamic Linear Regression
Journal of Time Series Analysis, EarlyView.ABSTRACT We develop a sparse causal dynamic regression framework for long multivariate time series. With very long time series, the potentially large number of lags and leads in a dynamic regression model often makes time‐domain estimation numerically unstable or intractable.
Rui Huang, Kung‐Sik Chan
wiley +1 more source
Polydispersity Analysis of Taylor Dispersion Data: The Cumulant Method
, 2016 Taylor dispersion analysis is an increasingly popular characterization method that measures the diffusion coefficient, and hence the hydrodynamic radius, of (bio)polymers, nanoparticles, or even small molecules. In this work, we describe an extension to
Michel Martin (1548583) +3 more
core +1 more source
Journal of Modern Power Systems and Clean Energy, 2018 Distributed generation including wind turbine (WT) and photovoltaic panel increased very fast in recent years around the world, challenging the conventional way of probabilistic load flow (PLF) calculation.
Bingyan SUI +4 more
doaj +1 more source