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Results emphasize the importance of choosing the sample thickness matching the dynamic processes under study in intertidal sediments.
This paper considers the problem of choosing the sample size for testing hypotheses on the parameters of a model using Bayes factors.
Using a specially designed experimental setup and properly choosing the sample material and the process parameters, we obtained a clear stable keyhole with a high-speed camera.
The main design focus is choosing the sample size that allows the clinical trial to discriminate between the null hypothesis of no difference and the alternative hypothesis of a specified difference of scientific interest.
The method of choosing the sample is crucial to the validity of the audit.
Potential more elaborate techniques for choosing the sample points can be found in[103].
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Random or probability sampling implies choosing the sampling unit (e.g. individuals, herds, farms, slaughterhouses, administrative areas) such that each has the same chance of selection [ 12].
Choosing the sampling frequencies depends on the process dynamics and the time required for the measurements and optimization.
This case study demonstrates the need to include the specific design as well as site characterization uncertainty when choosing the sampling locations.
In general, choosing the sampling method based on the risk set characteristics will not result in biased estimation [ 37].
Other criteria for choosing the sampling positions were access to electricity to power the monitors, the safety and stabilization of equipment, and avoidance of interference with household activities.
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CEO of Professional Science Editing for Scientists @ prosciediting.com