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After variable selection using the new method backwards interval-PLS (bi-PLS), the models built on EISC treated Raman spectra of design samples as well as a few production samples yielded good predictions for all samples with RMSECV between 0.7 and 2.2% and correlations between 0.98 and 1.00.
We included all variables with P<0.1 in a multivariate logistic regression analysis (method: backwards, likelihood ratio).
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In general, the method of backwards induction is undefined for games of imperfect information, although backwards induction reasoning can be applied to a limited extent in such games.
An early example of this explanatory tradition is the method of backwards induction, introduced by Ernst Zermelo (1913).
The method of backwards induction can be applied to any sequential game of perfect information, in which the agents can observe each others' moves in turn and can recall the entire history of play.
This lesson plan was created using three resources: (1) the understanding by design (UBD) method of "Backwards Planning" (beginning with the learning objectives or end result of the lesson), (2) "The Workshop Model" format ("Do Now", mini-lesson, activity, share, reflection), and (3) the National Education Support Service (NESS) Teaching Standards for evolution.
This method is a backwards updating process.
The backwards method does the opposite, using slightly different statistical tests.
We therefore achieved optimization to create a balance between statistical performance, parsimony, and usefulness of the model using the routine gbm.simplify, a method analogous to backwards selection in regression [46].
We performed an additional screen of 5 synbodies that bound ABL1 on the protein array plus 2 negative control synbodies that were not run on the ProtoArray to test if the backwards method could be used to identify a functional synbody to ABL1.
Multivariate analyses were performed using Cox proportional hazards regression with a backwards method.
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