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The aim of this study was to verify the significance of land use on nitrate availability (NO3 N) at landscape scale in two different sites by using multivariate geostatistical methods.
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The dependence of comfort judgement on various meteorological factors was studied by using multivariate regression analysis.
Data were compared by using multivariate analysis of variance and Scheffé's method.
By using multivariate -adic -integral on, one sees that (2.31).
They can be reduced by using multivariate statistics.
By using multivariate Cox modeling, GEP class had a stronger independent association with metastasis than any other prognostic factor (P<0.0001).
Clinical, functioning and cognitive characteristics by lifetime and current comorbidity groups were compared using multivariate tests.
We completed these analyses using multivariate Cox regression.
This covariation can be modelled using a multivariate geostatistical approach, namely, the linear model of coregionalisation (LMCR), which deals with data on two (or more) correlated variables that together exhibit spatial correlation.
This research aims to quantify the small scale heterogeneity by using a geostatistical description to ascertain the distribution of permeability in a carbonate formation.
Parasitologic surveys were conducted in Burkina Faso, Mali, and Niger, 2004 2006, and predictions were made by using Bayesian geostatistical models.
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