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OLC variables are also converted to dichotomous variables for better reliability in the moderation tests (Ping Jr [96 98]. This study employs multivariate methods to test the hypotheses.
Here we used a historical data set and multivariate methods to explore the determinants of the boundaries of Forest, Fynbos, Grassland, Renosterveld and Thicket biomes in a 1200 km2 area of the Kouga region.
In this analysis, I used generalized linear mixed models and several multivariate methods to analyze the effects of a number of environmental characteristics such as depth, bottom substrate or bank slope, reflecting not only the current quality but also the succession and formation of individual pools.
It does so by (1) measuring compactness, congestion, and control variables using the best national data available for U.S. urbanized areas and (2) relating these variables to one another using multivariate methods to determine whether compactness is positively or negatively related to congestion.
In that context, most of the existing strategies involve the ANOVA-based partitioning of sources of variation and the separate analysis of ANOVA submatrices using multivariate methods, to account for both the intrinsic characteristics of the data and the study design.
Often, the researcher is forced to decompose activity-travel patterns into their component dimensions and focus only on one or two dimensions at a time, or to treat them as a multidimensional whole using multivariate methods to derive generalized activity-travel patterns.
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In this study, the feasibility of this multivariate method to model the multivariate dependency of seven soil parameters including the undrained shear strength ratio, overconsolidation ratio, sensitivity, normalized cone tip resistance, normalized sleeve frictional resistance, pore pressure parameter, and normalized shear wave velocity.is studied.
Canonical Correlation Analysis ("CCA", [ 36 ]) is a multivariate method to find correlation between sets of variables.
Logistic regression was used as a multivariate method to ascertain which variables independently predicted CR.
DAPC is a multivariate method to infer the genetic structure of populations.
The Bayesian method (Pelkonen et al, 2012) was used as the multivariate method to create a model to predict pain at the 6 months' follow-up.
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