Results 11 to 20 of about 524,430 (317)
Parameter estimation from ICC curves
Incidence vs. Cumulative Cases (ICC) curves are introduced and shown to provide a simple framework for parameter identification in the case of the most elementary epidemiological model, consisting of susceptible, infected, and removed compartments.
Joceline Lega
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Truncated Three-Parameter Lognormal Estimation [PDF]
The left, right and doubly truncated 3-parameter lognormal density functions are given and their moments evaluated. Moment estimation of the three parameters , and is discussed and maximum likelihood equations obtained in all cases. Solutions of the ML
Essam Al-Hussaini, Samia Narooz
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Parameter estimation plays an important role in reducing model error and thus is of great significance to improve the simulation and prediction capabilities of the model.
Yanqiu Gao +3 more
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Particle Learning Methods for State and Parameter Estimation [PDF]
This paper presents an approach for online parameter estimation within particle lters. Current research has mainly been focused towards the estimation of static parameters.
Fearnhead, Paul +7 more
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Optomechanical parameter estimation
We propose a statistical framework for the problem of parameter estimation from a noisy optomechanical system. The Cramér–Rao lower bound on the estimation errors in the long-time limit is derived and compared with the errors of radiometer and ...
Shan Zheng Ang +3 more
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The ”Akshaya distribution” is a model one-parameter continuous distribution that has been proposed by [15] for modelling lifetime data from biological research and engineering.
Ahlam. H. Tolba
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Parameter estimation for nonlinear sandwich system using instantaneous performance principle.
The vast majority of reports mainly focus on the steady-state performance of parameter estimation. Few findings are reported for the instantaneous performance of parameter estimation because the instantaneous performance is difficult to quantify by using
Zhengbin Li, Lijun Ma, Yongqiang Wang
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Estimating the Hurst Parameter [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Berzin, Corinne, León, José R.
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A self-organizing state-space-model approach for parameter estimation in Hodgkin-Huxley-type models of single neurons [PDF]
Traditional approaches to the problem of parameter estimation in biophysical models of neurons and neural networks usually adopt a global search algorithm (for example, an evolutionary algorithm), often in combination with a local search method (such as ...
Aston, John A. D. +16 more
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Abduction as Incomplete Parameter Estimation
Abduction is a kind of logical inference, and has been studied in computer science and artificial intelligence (Fin- lay and Dix 1996). Recently, Sawa and Gunji (2010) introduced a diagram to represent three types of inference: i.e.
Moto Kamiura
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