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These data were acquired with multiple responses being allowed.
Miscellaneous answers included history, pharmacology, and diversity of medical treatment at 1 school each with multiple responses being allowed.
Miscellaneous answers included current status of medical treatment by 3%, clinical topics by 1%, and attitude as a clinician by 1% with multiple responses being allowed.
Similar(57)
Multiple responses were simultaneously analyzed by optimization.
The dependent parameters as multiple responses were evaluated.
In Statistics we normally use weighted frequencies for each person when multiple responses are available.
However, for many applications joint predictions of the multiple responses are needed.
The multiple responses are optimized simultaneously using Taguchi based grey relational analysis.
The grey relational grade values for the multiple responses are obtained using weighted grey relational analysis.
An alternative to the use of desirability function for optimising multiple responses is proposed.
In addition, it was found out that the percentage improvement in GRG with the multiple responses is 39.4%.
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