The results of this chapter lead to a modification of the standard stopping rule which breathes new life into the method of steepest ascent, but which is unfortunately not sufficient to effect a total resuscitation. As expected, there is no uniformly optimum stopping rule, nor even a uniformly best test statistic; both the optimum statistic and the optimum test level depend on the model parameters y1 and y2. One can, however, adopt a compromise rule which works reasonably well for all parameter combinations by testing at the 25% level with the statistic zn = 1/2(yn -yn-2). In many cases the loss incurred by the compromise rule is less than half that incurred by the existing rule; in the few cases where the compromise rule is less efficient,...
Response Surface Methodology (RSM) searches for the input combination that optimizes the simulation ...
The steepest descent method has a rich history and is one of the simplest and best known methods for...
Multiple comparisons and selection procedures are commonly studied in research and employed in appli...
The results of this chapter lead to a modification of the standard stopping rule which breathes new ...
Competitiveness motivates organizations to implement statistical approaches for improvement purposes...
Response surface methodology is applied often in industrial experiments to find the optimal conditio...
A simple multiresponse steepest ascent procedure has been developed by combining the standard steepe...
Response Surface Methodology (RSM) searches for the input combination maximizing the output of a rea...
Many previous researches conveyed the superiority of Steepest Ascent (SA) method to find the optimal...
One of the spread first level methods of optimum search is learned by the steepest descent method in...
This chapter first summarizes Response Surface Methodology (RSM), which started with Box and Wilson’...
Abstract: This chapter first summarizes Response Surface Methodology (RSM), which started with Box a...
The performance of an algorithm often largely depends on some hyper parameter which should be optimi...
One of the spread first level methods of optimum search is learned by the steepest descent method in...
This thesis provides some extensions to the existing method of determining the precision of the path...
Response Surface Methodology (RSM) searches for the input combination that optimizes the simulation ...
The steepest descent method has a rich history and is one of the simplest and best known methods for...
Multiple comparisons and selection procedures are commonly studied in research and employed in appli...
The results of this chapter lead to a modification of the standard stopping rule which breathes new ...
Competitiveness motivates organizations to implement statistical approaches for improvement purposes...
Response surface methodology is applied often in industrial experiments to find the optimal conditio...
A simple multiresponse steepest ascent procedure has been developed by combining the standard steepe...
Response Surface Methodology (RSM) searches for the input combination maximizing the output of a rea...
Many previous researches conveyed the superiority of Steepest Ascent (SA) method to find the optimal...
One of the spread first level methods of optimum search is learned by the steepest descent method in...
This chapter first summarizes Response Surface Methodology (RSM), which started with Box and Wilson’...
Abstract: This chapter first summarizes Response Surface Methodology (RSM), which started with Box a...
The performance of an algorithm often largely depends on some hyper parameter which should be optimi...
One of the spread first level methods of optimum search is learned by the steepest descent method in...
This thesis provides some extensions to the existing method of determining the precision of the path...
Response Surface Methodology (RSM) searches for the input combination that optimizes the simulation ...
The steepest descent method has a rich history and is one of the simplest and best known methods for...
Multiple comparisons and selection procedures are commonly studied in research and employed in appli...