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The uncertainties in all the random variables including the four parameters of Richard model are considered.
The non-linearity due to PR connections is modeled by moment-relative rotation curves using the four-parameter Richard model.
Using the four-parameter Richard model, a mathematical model is proposed first to represent moment relative rotation (M θ) curves for a proprietary steel connection.
As observed from the literature, various models have been developed in this regard such as polynomial model, power model, linear model, two/three parametric model, Wu Chen, Ang Morris and Richard model.
The data fit converges to a two-phase Richard model with the first summer wave spanning e-weeks 29-39 (6/28-9/26) of 2009 and the second fall/winter wave spanning e-week 39 of 2009 to e-week 12 of 2010 (9/20/2009-3/27/2010).
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The lower layer adopts the Lighthill-Whitham-Richards model to capture the traffic flow dynamics.
Two forms of the Schnute growth model were considered: the Richards model and the von Bertalanffy model.
The model forms tested for the Schumacher model were similar to those tested for the von Bertalanffy-Richards model.
For the von Bertalanffy-Richards model, two general methods of fitting the different forms of each model were tested.
Moreover, a clear trend was found in the parameters of the Richards model among the DBH classes.
The Richards model supports a lower mean asymptotic length (L∞ = 271.0 cm FL) than the model currently used in the stock assessment (L∞ = 314.9 cm FL).
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