Results of estimating a large-scale, nonlinear macroeconometric model by full-information maximum-likelihood, nonlinear three-stage least squares, and nonlinear two-stage least squares are reported in this paper. The computation of the estimates is first discussed, and then the differences among the ...
This approach estimates the contribution of measured deterministic factors to the metacommunity assembly process and the importance of past events in altering the present environment. We classified all environmental variables into what we term “present parameters,”“sedimentary features,” and “historical...
The model generated plausible estimates of wildfire probability under altered climate and vegetation conditions (Fig. 6). Overall, changes in predicted wildfire probability (both increases and decreases) were most common in the northern Great Basin, where wildfire probability is currently high. The mode...
This paper contributes to population inference research by (1) proposing a novel least-squares simplification of the binomial likelihood model that results in a faster algorithm, and (2) directly incorporating the prior parameterαthat improves estimates without requiring trial-and-error tuning. Specific...
The weighted least squares calculations described in the previous section (Equation 3) can then be conducted with w g j ∗ replacing w gj throughout. The use of appropriate array weights will produce more precise estimates of the gene expression coefficients and improve power to detect ...
Second, we observe more variation regarding the anxiety indicators. The point estimates for both family and asylum migrants are initially higher, before converging towards anxiety levels of the native-born. Those who migrated for study reasons also converge to anxiety levels of the UK-born, but st...
RNA (ncRNA)[97], micro RNA precursors [98], incompletely or unspliced transcripts [99]. In particular, ncRNAs are a likely source for a large fraction of the discrepancy based on estimates of a 10-fold greater number of non-coding transcription units than protein coding genes [100]. It ...
Since the Young's modulus for any applied load is a linear function of the maximum (middle) value of the beam deflection profile, and that this value varies between 15 and 20 μm, depending on the tested sample, the relative error caused by optical distortions on the last estimates of ...
information in a manner yielding transformed data with expectation zero for non-differentially expressed genes, after which the current WAME method is applied. The transformed data are shown to give equivalent tests and estimates to those of the original data, given the corresponding covariance-...
To find the model parameters, the initial estimates are updated during each iteration in the downhill direction to the gradient, decreasing the average square error with a damped least-squares approach. However, a standard local search approach is only applicable for the non-linear least-squares ...