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ACS estimates the minimum required sample rate subject to given sensing quality on a per-sampling-window basis and accordingly adjusts sensors' sample rates.
To help readers employ the results presented here, tables are provided to summarize the resulting minimum required sample sizes for cluster randomization trials with two arms and three arms in a variety of situations.
By assuming the existence of only additive genetic effects in the twin model, a previous simulation study reported minimum required sample sizes ranging between 75 and 2,000 twin pairs in order to achieve 95% statistical power, depending on heritability effect sizes ranging from 0.8 to 0.2 respectively, and keeping the MZ to DZ ratio close to one36.
Mirroring algal heterogeneity, the minimum required sample size for in situ biomass measurement were greater in blooming season and sandy bottom, suggesting that sampling design for spatio-temporal mapping of MPB should consider the sampling season and/or abiotic and biotic features of study area.
The minimum required sample size with a power of the study of 0.85 was 252 per group including the 20% dropout factor.
Effect size and minimum required sample size for statistical significance were calculated using G*Power 3.1 software.
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The equations for minimum required sampling frequency are derived by balancing the interpolation error against Cramer Rao lower bound.
With the alpha level set at 0.05, an anticipated effect size of 0.8, and the statistical power level set at 0.8, the minimum total required sample size was 42, with a minimum sample size per group of 21 participants.
With the alpha level set at 0.05, an anticipated effect size of 0.8, and the statistical power level set at 0.8, the minimum total required sample size was 8 participants.
Clear disadvantages of the sampling-based approach are the natural processing penalty imposed by a larger dataset and the difficulty of estimating the minimum number of required samples.
We calculated the minimum area required to sample the smallest number of trees necessary to produce hypothetical negative exponential distributions.
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