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Knowledge creation data synthesis

In the sections that follow types of PK/PD knowledge creation, general steps in the knowledge creation process, data supplementation and the motivation for it, data supplementation procedure, nonparametric approximate Bayesian data supplementation method, structure-based multiple supplementation with a motivating example, and implications of the use of multiple data supplementation for the characterization of an unexplored region of the response are described. The emphasis in this chapter is on the use of data supplementation to characterize unexplored region of the response surface. A discussion on data synthesis, the qualitative characterization of the response surface, and the estimation of inestimable uncertainty has been elegantly presented by Williams et al. (1) and Ette and Onyiah (5). Therefore, these approaches are discussed in brief in the sections that follow. [Pg.830]

Step 3. Performance of knowledge creation (i.e., data synthesis, estimation of inestimable uncertainty, or data supplementation). [Pg.832]


See other pages where Knowledge creation data synthesis is mentioned: [Pg.830]    [Pg.832]    [Pg.832]    [Pg.835]    [Pg.1176]    [Pg.758]    [Pg.295]    [Pg.441]    [Pg.1599]    [Pg.50]    [Pg.845]    [Pg.801]   
See also in sourсe #XX -- [ Pg.830 , Pg.1176 ]




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