Results 11 to 20 of about 409,081 (168)
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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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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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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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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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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Adaptive finite-time parameter estimation for grid-connected converter with LCL filter
This study proposes an online finite-time adaptive parameter estimation method for grid-connected voltage source inverter (VSI) with LCL filter. In this framework, a time-continuous state-space system model is first developed, which is different from the
Xinze Xi +6 more
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Prepaid parameter estimation without likelihoods.
In various fields, statistical models of interest are analytically intractable and inference is usually performed using a simulation-based method. However elegant these methods are, they are often painstakingly slow and convergence is difficult to assess.
Merijn Mestdagh +4 more
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Information-Corrected Estimation: A Generalization Error Reducing Parameter Estimation Method
Modern computational models in supervised machine learning are often highly parameterized universal approximators. As such, the value of the parameters is unimportant, and only the out of sample performance is considered.
Matthew Dixon, Tyler Ward
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