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By comparing undated cores from the landscape with those from different occupation phases at Haua Fteah, DFA classification is tested as a method for imparting an approximate chronology to the former.
The classification is tested on simulated tomograms containing 40 complexes of four different classes (Fig. 4).
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The significance of the parameters for the classification was tested.
Moreover, the validity of the a priori classification was tested and the most discriminant variables were detected (linear discriminant analysis).
Vegetation classification was tested for several abundance measures: stem density per ha, basal area per ha and presence/absence (P/A) of the tree species.
The use of the GEOIC approach in land type classification was tested in a study area in the agriculture-pasture mixed region of Loess Plateau in China.
A direct method of classification was tested under the hypothesis that relative water use by woody landscape species growing in 3.8 l containers would be representative of the water use of the same species in the landscape.
The predictive validity of the frailty classification was tested against 2-year mortality and 4-year disability.
Inter-observer variation of categorization according to the new histopathological classification was tested (κ = 0.91).
The association between IGF-1R expression and MP classification were tested using a logistic ordinal regression where MP classification groups were treated as ordered.
The stability of the classification was tested by varying the data order and by cross-validation (comparison of the separate clustering of the randomly split sample).
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