โ Scribed by Xinlong Feng; Guoliang He; Abdurishit
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
## In this paper, we present several variations on the least squares approach of estimating steady-state flow parameters in a groundwater model. We test the approach on numerically generated data, and also apply it to field data from the MADE (MAcro Dispersion Experiment) data set obtained at Colu
Relationships are determined that describe the bias inherent in point estimates of mean resistance and compliance obtained by applying least-squares to the respiratory equation P = Rk + V/C + PO over inspiration and expiration, assuming flow follows a sinusoidal pattern. If resistance and elastance
Maximum likelihood estimation for the parameters in the three-parameter Weibull distribution needs an initial value in the iteration scheme for likelihood equations. In certain cases, maximum likelihood estimation can break down for the three-parameter Weibull model, as no local maximum of the likel