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Reliable surface reconstruction from multiple range images.
Means were separated using Duncan's Multiple Range test.
Registration of multiple range views for automatic 3-D model building.
Differences among the groups were evaluated by analysis of variance (ANOVA) followed by Duncan's multiple range tests.
Currently, more than 80% of institutions are within the multiple range of 4.5 to 8.5, the guidance says.
Statistical differences among groups were evaluated by analysis of variance (ANOVA), followed by Duncan's multiple range tests.
Duncan's multiple range test.
Duncan multiple range tests.
Means differences were separated using Duncan's Multiple Range Test [35].
Differences between means were detected by Duncan's multiple range test.
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Wang, F. & Landau, D. Efficient, multiple-range random walk algorithm to calculate the density of states.
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