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The Bayesian information criterion (BIC) is a statistical measure used for model selection among a finite set of models. The BIC is a goodness-of-fit test

  • The Bayesian information criterion (BIC) is a statistical measure used for model selection among a finite set of models. The BIC is a goodness-of-fit test that balances the complexity of a model with its goodness-of-fit to the data.
  • The Cramer-von Mises criterion (CVM) is a goodness-of-fit test that is used to assess how well a set of observed data fits a hypothesized probability distribution. Often used in economics, engineering, or finance, it is based on the cumulative distribution function of the observed data and the hypothesized distribution.

1.at the point of succession, talk about climax of a community

2.scale the ecological time to succession

3.explain on the difficultness of the Integrative plasmids

4.render eduacative; Yep13 is a shuttle vector

5.interconnect the shuttle vector to the prokaryotic system.

6. Yep13 is an example of/be specific and sure

7.what is your scientific approach to the YEps understanding ?

8.elaborate on the Minimal medium subject to amino acids

9.what are the contributions of the Dehydrogenase in the gene LEU2

10.relate based on facts the Host cell to the auxotrophic mutant?

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