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The subsequent households were selected by using the sampling intervals.
Household selection in each cluster was randomly taken by using the sampling frame of every 10th household with the nearest household from the village health service (Pustu) as the starting point.
What is considered "close" and "not close" is determined by using the sampling distribution of x̄.
The main study results were obtained by using the sampling year of the sequences.
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According to the author in [12], the complex dynamical networks are synchronized, by using the sampled-data control method.
Finally, the estimation of node's localization can be obtained by using the sampled nodes being selected optimally from the differential evolution algorithm.
Each CR node is able to classify and estimate spectrum of a signal r(t) by using the sample set x[3].
The overall sample size was determined by using the sample size determination equation that takes into account the desired confidence level (95%), the error margin (5%), and the prevalence of the issue under investigation (p = 0.5).
We use Conditional Value at Risk (CVaR) to approximate the chance constraint, and we get the approximation problem of the chance constrained stochastic programming by using the sample average approximation (SAA) method.
The above estimates of the mean of the mutant fitness by using the sample means were supplemented by evaluating their sample variances using the formulas for variances of the products and ratios of independent random variables [57].
At last, a classification model is trained by using the samples and their features.
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