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Statistical analysis of the stability number adjustment factors and implications for underground mine design
(Pergamon-Elsevier Science Ltd., 2016)
Statistical analysis of hydrochemistry and isotopic characterization of groundwater from the parecis basinAnálise estatística da hidroquimica e caracterização isotópica das águas subterrâneas da bacia dos parecis
(2021-01-01)
Knowledge of mechanism controlling the hydrochemistry of groundwater are crucial requirement to understand the hydrochemical evolution and evaluate the water quality of subsurficial water resources. Thus, to understand the ...
Polarization instability, steering, and switching of discrete vector solitons
(2005)
We study the dynamics of discrete vector solitons in arrays of weakly coupled birefringent optical waveguides with cubic nonlinear response. We start with a modulational instability analysis, followed by approximate ...
Fractional polynomial response surface models
(2005-03-01)
Second-order polynomial models have been used extensively to approximate the relationship between a response variable and several continuous factors. However, sometimes polynomial models do not adequately describe the ...
A new approach to estimate variable contributions to Hotelling's statistic
(Elsevier Science, 2012-08)
Hotelling's statistic, also called T 2-statistic, is widely used in statistical process control as an extension of the univariate student's chart to reliably detect out of control status in multivariate processes. Although ...
SEM analysis of internal adaptation of adhesive restorations after contamination with saliva
(2005-04-27)
Purpose: This study tested the null hypothesis that different treatments of saliva-contaminated substrate would not affect microgap formation at the dentin walls of bonded restorations. Materials and Methods: Forty freshly ...
A new statistical test based on the wavelet cross-spectrum to detect time-frequency dependence between non-stationary signals: Application to the analysis of cortico-muscular interactions
(2011)
The study of the correlations that may exist between neurophysiological signals is at the heart of modern techniques for data analysis in neuroscience. Wavelet coherence is a popular method to construct a time-frequency ...