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In the next section, the performances of the proposed change-point estimators are evaluated and are compared using some simulation experiments.
At the end, the performances of the proposed change-point estimators are evaluated and are compared using some Monte Carlo simulation experiments, considering that the real change type presented in a process are of either a step change or a linear-trend disturbance.
Sizes can be compared using a straightforward calculation.
Treatment groups will be compared using intent-to-treat analysis.
The per decade rate between 1900-2012 can be compared using four of the above sets.
In the second step, the visual features of consecutive frames are compared using specific similarity measures some decision criteria are used to identify shot boundaries.
In vitro data were compared using a one-way ANOVA.
Individual means were compared using multiple t tests.
lowii was compared using Fisher's Exact Test.
Values were compared using Student's t-test.
Models were compared using Akaike information criterion (AIC).
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