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Moreover, we present the MLE approach for estimating the time of variance shifts.
One unique aspect of our research is that we link two ANN modules including (1) module one, which is used for detecting variance shifts (fault detection) as well as diagnosing the source of shifts (fault diagnosis), and (2) module two, which consists of some ANNs used for estimating the time of variance step changes.
Median tumor volume were analyzed using two-way analysis (ANOVA: Treatment and Time) of variance with repeated measures on factor Time (post hoc analysis of Treatment effect at fixed Time levels with Dunnett test).
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These scores were appropriately subjected to a 2 (Alcohol) × 2 (Energy Drink) × 2 (Gender) × 6 (Time) analysis of variance with time as a repeated measures factor.
Gao et al. [ 25] used measured parameters of the full TR curve including the mean time-of-flight, variance and skew to improve tomographic image quality versus CW approaches.
Parametric longitudinal data analysed via two-factor (group, time) analysis of variance (ANOVA) with repeated measures on time using general linear modeling.
A separate 2 × 2 (condition × time) analysis of variance was also performed in order to examine the effect of FES and time on the entire group.
To assess the impact of the intervention on primary and secondary outcomes, time-by-treatment interactions were analyzed in a repeated measures split plot in time analysis of variance model for continuous outcomes.
Consistently throughout time, analysis of variance (ANOVA) showed high variation in the soil moisture behavior among the plots and high homogeneity in the soil moisture behavior within them.
A two-way (gender and time) analysis of variance (ANOVA) with mixed design was performed to test for significant differences in muscle strength and muscle CSA using a computerized statistical package (Statistica V5.1, Statsoft, Tulsa, OK).
We will use a two-factor (group and time) analysis of variance (ANOVA) with repeated measures.
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