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The concepts of crossing point analysis and range comparison are introduced.
Range comparison compares performance over a wide range of ensemble and problem size via scalability and crossing point analysis.
Experimental and theoretical results show how the combination of scalability, crossing point analysis, and range comparison provides a practical solution for scalable performance evaluation and prediction.
A series of performance indices are given to allow a wide range comparison of materials for several typical sensing and actuating structures, and a rapid identification of candidates for a given task.
In this work bed height, bed size and fluidization conditions have been varied and a correlating equation: is suggested as applying over the range Comparison is made with mass transfer data of several other authors, revealing considerable variance.
A range comparison is presented in Table 3.
Similar(46)
Most analysis were evaluated byANOVA followed by the LSD test for post hoc multiple range comparisons.
* Data are presented as median (interquartile range); comparisons made using the Wilcoxon signed rank test.
Results were consistent in a variety of dosage range comparisons and within increasingly heterogeneous trial populations.
Continuous variables were summarised by median and interquartile range; comparisons across miscarriage groups were conducted by Kruskal Wallis test.
Analyses used were the Kruskal-Wallis test with Dunn's multiple comparison post-hoc test (all multiple comparison analyses), Mann-Whitney U-Test (normal range comparisons) and the Chi-squared test (for age survival analysis).
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