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A small sample simulation study is performed.
A sample simulation study in different scenarios is illustrated to provide the usages and advantages of the proposed method with index of Interactive Service Performance.
To assess the proposed methodology, a small sample simulation study has been performed.
Finally, we present a finite sample simulation study which compares the proposed test, the JT test, MJT test, TM test, and the KTP test in terms of power.
A finite sample simulation study was also used to explore in-depth how the powers of JT, MJT, TM, KTP and KTMB tests under different underlying populations, treatment numbers and sample sizes.
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To demonstrate the accuracy of the algorithm for varying sample sizes, a simulation study was performed.
In the following section, we relate MITIE with previous work and illustrate the idea of combining multiple samples in a simulation study in Section 4.1.
Similar estimates of correlations between the estimates of r2 were obtained from different samples in a simulation study by Visscher [ 45].
This article outlines such methods and compares their small sample properties using the simulation study that was executed for the purpose of designing a current AIDS clinical trial.
A statistical model based on large sample simulation is established to study the relationship between random telegraph signal (RTS) noise and the number of time delay integration (TDI) stages in TDI CMOS image sensor (CIS).
Using multiple regressions on the various available data, we tuned the equation of state model to accurately represent the phase behavior of the heavy-oil sample used in this simulation study.
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