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A key goal in fitting frequency distributions to data is to allow the estimation of distribution quantiles, which in hydrology are often used as "design events".
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Because the relationship between EEG-phase dynamics and phosphene perception rate were confined to the alpha-frequency band, and because the frequency of ongoing alpha oscillations matched the best-fitting frequency in the phosphene data, we conclude that the periodicity in phosphene perception reflects those of intrinsic brain rhythms.
Theoretical model parameters have been obtained via fitting experimental frequency dependences of MAE's dynamic modulus measured under dynamic torsion oscillations in linear viscoelastic regime.
Another two algorithms based on fitting multiple frequency response points thus estimated are proposed for obtaining a time delay model of any order, the latter of which may also be used to improve fitting accuracy over a specified frequency range interested to control design.
Sample size considerations for fitting of frequency distributions.
By fitting frequency-dependent lung impedance data into the constant-phase model, lung mechanical properties can be described using four parameters: airway resistance R N, inertance I, lung tissue energy dissipation G, and lung elastance H [ 14].
For the final fitting of the frequency domain response, the frequency dependence of complex permittivity ϵ* can be combined with the CS law and the modified Debye law (HN law) [52]: ϵ * ω = ϵ ∞ + χ CS * ω + χ HN * ω − i σ DC ω ϵ S (21) χ CS * ω = A iω n − 1 (22) χ HN * ω = ϵ s − ϵ ∞ 1 + iωτ 1 − α β (23).
(3) The major operations of low frequency fitting procedure are three times phase factor multiplication, one time linear search, one time inverse Fourier transform, and one time linear fitting.
Many different methods have been invented throughout the years to solve this problem, with some examples being the following: linear prediction [2], correlation [3 7], subspace methods [8 10], frequency fitting [11], maximum likelihood [12 16], cepstral methods [17], Bayesian estimation [18 20], and comb filtering [21 23].
Under the best fitting model, the frequency of BRCA1 mutations in the general population was estimated to be 0.051% (95% CI: 0.021 0.125%) which corresponds to about one in 974 individuals being a BRCA1 carrier.
The best curve fittings render the frequency factor of 5759.5 s−1, activation energy of 74.29 kJ mol��1 and reaction order of 0.5.
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