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In each one group, the sampling design, performance criteria and optimal sample size were defined.
This paper suggests using these two terms as an estimate of the optimal sample size.
Consequently, we determined the optimal sample size for both AS_stand and JS estimates as 11.
Imprecision was evaluated based on event rate, optimal sample size, and width of confidence intervals.
A practical guideline for determining an optimal sample size with a given power or vise versa is provided for BAGS.
After stratification, there exist several strategies for plot allocation that provide the optimal sample size for each stratum.
The simulation result shows that the actual optimal sample size and the corresponding estimated size are very close, even if N is moderate.
The first two dominant terms of the optimal sample size for the first stage are found explicitly in terms of N and prior density function.
In this paper, we study what is the optimal sample size to achieve a given level of accuracy while maximizing the total simulation speedup.
The sampling design, performance criteria of the sampling and associated optimal sample size were obtained by statistical analysis of soil data available before the sampling.
For these three models, the approximately optimal sample size for the next stage as a function of the current Fisher information and the stage cost is determined.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com