The relationship between the ex ante criteria and the three LC indicators was analyzed using a multiple regression approach.
Subsequently, the relationship between the competitiveness indicators and LPI indicators is analyzed using ANN where the LPI indicators are represented by CBDs.
To evaluate the robustness of the indicator sets, the ranks were analyzed using Kendall's coefficient of concordance.
Prognostic indicators and the prediction model were analyzed using logistic regression.
The potential impacts of climate change on the Great Hungarian Plain based on two regional climate models, REMO and ALADIN, were analyzed using indicators for environmental hazards.
Associations between census socioeconomic indicators and pneumonia incidence rates were analyzed using generalized linear models.
To test the construct validity of the Brazilian CPQ11 14, associations between the scores of each domain, global oral indicators and overall well-being were analyzed using Spearman's correlation coefficient.
Aluminum was analyzed by titrating this mixture with 0.015 mol L−1 NaOH and bromothymol blue indicator, and Ca and Mg were analyzed using an atomic absorption spectrophotometer.
Hydrologic regimes were analyzed using the Indicators of Hydrologic Alteration, a model that estimates 33 hydrologic and ecologically relevant parameters.
Data related to causes of rangeland degradation, local indicators of rangeland degradation, and consequences of rangeland degradation were analyzed using a rank index method (Musa et al. 2006).
