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Finally microstructure study has been performed for the optimal sample by using optical microscope.
The following notations will be used in later analysis: v † denotes the optimal sample path estimator.
The sample of d and E which has minf is called the optimal sample.
The optimal sample load was found to be dependent on the paper size.
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.
Step 2: 10,000 × samples of d and E are generated around the optimal sample by random function.
After stratification, there exist several strategies for plot allocation that provide the optimal sample size for each stratum.
As such, we propose an algorithm that determines the optimal sample length per benchmark under different warmup scenarios.
The optimal sample sizes for JS were almost the same under different vapor pressure deficit and soil moisture conditions.
The objective is to find the optimal sample thickness and time split between the open beam, sample and background measurements.
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