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In this study, gauge repeatability and reproducibility (gauge R&R) was used to analyze variability for USP apparatus 2 dissolution measurement systems.
Also, in understanding geosciences, space time domain serves as the basis to analyze variability, and understanding the space time structure of variability is an important scientific goal.
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In this study, we analyzed variability in tree-ring series from 15 low-elevation stands in northeastern Washington (USA) using time series analysis and linear mixed effects models.
The CSEOF technique is an excellent tool for analyzing variability in space time or multi-dimensional data.
Recently, Spragg et al. (2012) analyzed variability studies on 12 different cementitious mixtures for BR and SR and correlation was established at testing ages of 28, 56 and 91 days.
In the model analyzing variability in carotenoid levels, both diquat (F1,38.1 = 4.73, P = 0.036) and α-MSH (F1,59 = 6.03, P = 0.017) treatments had significant effects.
Body mass and tarsus length (15 d old), body condition (residuals of a regression between body mass and tarsus length at 15 d of age) and initial body mass (5 days old) were also tested as covariates in models analyzing variability in breast-stripe surface, tGSH and TAS levels.
We thus analyzed variability aligned to individual touches while accounting for differences in the properties of individual touches.
Further, we carried out a systematic approach to adjustment for selection bias, controlled confounding from numerous sociodemographic and other factors, and analyzed variability across developmental groups in blood Hg independently of fish intake.
We used the Kruskal-Wallis test to analyze the variability of the continuous variables of the study.
The standard deviation s and the variability index v = (standard deviations/mean)∗100 have been used to analyze the variability of the parameter.
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