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SAMPLING DECISIONS IN OPTIMUM EXPERIMENTAL DESIGN IN THE LIGHT OF PONTRYAGIN'S MAXIMUM PRINCIPLE SEBASTIAN SAGER Abstract. Optimum Experimental Design (OED) problems are optimization problems in which
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How to fill out sampling decisions in Optimum:

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Start by accessing the Optimum platform and navigating to the sampling decisions section.
02
Review the available options for sampling decisions, which may include selecting the sample size, the sampling method, and the sampling boundaries.
03
Consider the specific goals and objectives of your study when making sampling decisions. Determine the appropriate sample size based on the level of precision needed and the available resources.
04
Choose the most suitable sampling method for your study. This could involve simple random sampling, stratified sampling, cluster sampling, or other methods depending on the nature of the data and research objectives.
05
Set the sampling boundaries, which are the limits or criteria for including or excluding certain elements from the sample. This could include factors such as age, location, or any other relevant characteristics.
06
Ensure that your sampling decisions align with any ethical considerations and privacy regulations.
07
Once you have made all the necessary sampling decisions, proceed to apply the selected sampling strategy to your data collection process.

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Researchers and scientists who are conducting studies or experiments using Optimum as their data analysis platform.
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Market researchers who need to collect a representative sample of their target population for survey or research purposes.
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Any individual or organization that is involved in data collection and analysis and wants to ensure the accuracy and reliability of their findings through proper sampling decisions.
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Sampling decisions in optimum refer to the process of determining the sample size and selection method in order to gather statistical data for analysis and decision-making purposes.
The individuals or organizations who are conducting research or analysis and require statistical data are responsible for filing sampling decisions in optimum.
To fill out sampling decisions in optimum, you need to determine the appropriate sample size based on your research objectives, select a representative sample using random or stratified sampling methods, and document the decision-making process.
The purpose of sampling decisions in optimum is to ensure that the collected sample is representative of the larger population, allowing for accurate analysis and generalization of findings.
The information that must be reported on sampling decisions in optimum includes the rationale for selecting the sample size, the sampling method used, any adjustments made to account for potential biases, and the estimated margin of error.
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