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The GIS analyses of the utilized agricultural areas of each farm also showed that only traditional, low-input systems are able to maintain the steepest meadows and highland pastures.
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The initial analyses of the data utilize loglinear/logit model techniques from the contingency table literature, and involve the fitting of a sequence of logit models.
Higher level analyses of DTGs utilized fuzzy k-means clustering as described previously [ 8, 55, 56].
Previous analyses of statistical methods utilized in the literature have focused on a particular journal or set of journals to understand the statistical literacy required for understanding the published research.
To check the robustness of the analyses, we also utilized the non-parametric Jonckheere-Terpstra [ 14] test for the safety measures including mean changes in weight, as well as fasting glucose, lipids, and prolactin measures.
Multivariate analyses of covariance were utilized.
Our analyses of copper utilizing prokaryotes clearly support this idea.
To analyze damage initiation and final damage, microscopic analyses of the fracture surfaces were utilized.
The results of analyses were utilized for establishing the spatial distribution of rock motion amplification, the expected ground motions and spectral values in the area of the city.
Analyses of the laboratory heat-stress experiments utilized PAM-fluorometry data and symbiont density data.
A number of analyses will utilize the strength of the longitudinal design and multilevel multivariate statistical modeling methods to determine not only the neonatal predictors of outcomes, but also complications, care, and social environment over time.
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