In Section 6, by using the state space model in Section 5, we develop a generalized Bayesian inference procedure to estimate unknown parameters and to predict state variables.
While this approach might be applicable for a discovery study with a small sample size (e.g. N = 3 pairs), it possesses no concept of statistical significance for generalized inference.
The WQS method allowed us to make generalized inference about the chemical mixture effect and identify the individual chemicals most strongly associated with NHL while considering the correlation between compounds.
Estimation of chemical weights and the resulting WQS index while considering the correlation between compounds allows us to make generalized inference about the mixture effect and identify the individual chemicals ("bad actors") most strongly associated with NHL.
While the studies on participant and family satisfaction were too few to draw any strong generalized inferences, a contrast emerged between the NHSC and the US state programs.
One strength of this prospective population-based design, increasing our ability to draw generalized inferences, and despite not being a randomized controlled trial, is that the similarity between the groups at baseline provides a higher level of evidence as regards the effect of school transportation than previously published cross-sectional studies.
The population-based study design increase the ability to draw generalized inferences as do the fact that there were no differences in height, weight or body mass index (BMI) when comparing the study participants and the non-participants in the population based invited children [ 10, 11].
For the inference of a generalized Hartman effect to be meaningful for multi-barriers, double superlattices (SLs) or double Bragg gratings (BG), one would of course need to keep the physical parameters [like the energy (wavelength) of the particle (wave)] fixed as the length between barriers is increased.
Induction has been defined as the "inference of a generalized conclusion from particular instances" [ 29].
We develop a generalized birth-death model for probabilistic inference of the evolutionary mechanism for duplicate gene retention based upon the average rate of loss over time of the duplicate.
