Sentence examples for many model assumptions from inspiring English sources
There are many model assumptions and risk factors that have a large quantitative impact on the cancer risk estimates.
Given that this was unexpected, many of the model assumptions were analysed and, with the gained further insight, their validity and contribution to the invalidity of the deemed simple model approach assessed.
To relax many of these model assumptions listed in Table A-2 [Supplemental Material (online at http://www.ehponline.org/members/2008/10994/suppl.pdf)] will require target data collection through either monitoring or experimental design.
Our findings should be considered quite uncertain and are clearly sensitive to a number of the model assumptions, many of which could not be formally quantified or propagated.
However, the real mechanism must be more complicated than our model assumptions because many molecules are involved in neuronal polarization [2] and growth cones show stochastic motility.
We used a logarithmic (base e) transformation of many outcomes in order to satisfy model assumptions.
Data containing too many zero values or not meeting model assumptions were analyzed using ranking tests (Wilcoxon rank sum for pairwise comparisons, Kruskal Wallis for multiple groups).
Four Key Model Assumptions.
This conditional independence is a common model assumption in many examples (e.g. Rasmussen et al., 2011; Strelioff et al., 2013).
Many models are relaxations of the assumptions of the ERM model, while inaccurate estimation will bias tree shape towards the PDA model.
