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The locus data are far too heterogeneous to be used for both inference and testing.
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Haplotype inference and association testing was conducted in PLINK.
The sum of the instrument items serves as a scale for the outcome, and is used for statistical inference including testing statistical hypotheses.
A wide family of models is obtained, for which inference, testing hypotheses, model choice and model validation problems are dealt with.
These mole fraction data are valuable for inference of kinetics and testing of reaction mechanisms.
A formal model is introduced that contains representations of both the co-occurrence test (for non-monotonic inference) and the Ramsey test (for conditionals).
Unlike statistical inference testing methods based on analytical null-hypothesis distributions, network centrality scores and Relief-F scores lack an analytical null distribution.
Therefore, autocorrelation can have several implications for calculating statistics of measurement data in terms of statistical inference testing [17, 18].
In our work we provide a global inference, testing the significativity of the spatial pattern obtained by ODT.
We also evaluated the sensitivity of our inferences by testing different priors.
The article is a study directed to the context of model-based testing and model inference and not for penetration testing.
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