The results are summarized in Fig.2a. We found that our method provided results comparable with the PF in terms of providing an estimate for the mean of the state. We believe that minor differences in performance are because of our choice of basis functions. Clearly there is an opportunity t...
In contrast, with sampling bias, by which the probability of recruitment or the probability of dropout before the end of the study depends on the outcome variable, the sample is not representative of the population under study and biased estimates may result (Molenberghs and Fitzmaurice, 2009)....
Several plants flowered towards the end of the study period, after which they died as a result of monocarpy. For the purposes of survival analyses, these plants were treated as living because their deaths did not appear to be stress related. RGR for these plants was calculated using their ...
basic usage examples can be found inexamples/estimator_suite.py This is an ongoing effort. We'd love your feedback on which algorithms and techniques we should include and how you're using the package. We also welcome contributions.
In general, lower standard errors are not reason for recommending a model, because lower standard errors can result from either correctly characterized improvements in precision, or overconfidence (and increased Type I error); without access to true data generating parameters these are indistinguishable ...
The specific values of each parameter constraint are not critical to the final results, as constraints are only used to place an ordering on RC pairs, so that \(\tau _1 < \tau _2\); this ordering is necessary to ensure the identifiability of parameters44. Notably, it was found that ...
the coast between the latitudes from 64.5° S to 64.5° N. For the deep-ocean thermosteric component to the global mean separately, normally taking an estimate of 0.10 mm/year2,9, here in this study we adopt 0.12 ± 0.03 mm/year according to the estimated result of Chang et al....
While no existing assay can measure all single cells in a population, we nevertheless demonstrated that our result is non-trivial, since mixing up bulk samples (to serve as a negative control) did not reveal such synergy. We also showed that these results were not confounded by the larger ...
We found that GA estimation performance on this second dataset was comparable to the hold-out testing set of the original dataset. Crucially, we did not utilise any biometric information in model training or testing. Rather, our solution, which works in real-time, uses and combines image ...
Over the years, researchers have found that traditional methods, such as the I–V characteristic curve and key point approaches, may not be the most efficient means of deriving PV variables from equivalent PV models. In response, a shift towards adopting metaheuristic methods has been observed, ...