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The combination of the used methods enables us to gain a more distinct picture concerning processes during the PMI as well as a more realistic approximation of the PMI based on MIAs.
The use of semi-Bayesian methods enables us to incorporate additional prior covariate data to produce results that are likely better and more plausible than maximum-likelihood estimation results.
Attention to these methods enables us to achieve greater insight into this enigmatic poet.
Quantitative comparison of these methods enables us to evaluate the accuracy of the simulation scheme for large non-linear deformation problems.
In addition, advancement in analytical and synthetic methods enables us to better understand the structure and diversity of the degradation signal.
The combination of our Hopf techniques with steady state bifurcation methods enables us to determine all possible steady and stable oscillatory solutions exhibited by distributed parameter models such as the tubular reactor.
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The use of qualitative methods enabled us to undertake a detailed exploration of the opinions and experiences of professionals.
The use of geospatial methods enabled us to categorise and map finer-resolution geographical patterns that would have been obscured using traditional epidemiological methods.
These methods enabled us to estimate weekly volume of NECC MPA used across all 75 clinics.
Although our methods enabled us to compare exposure risk among different groups, the testing methods we used likely did not estimate the true AIV prevalence in wildlife.
Computational probabilistic methods enable us to incorporate and propagate uncertainties in mechanical models.
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