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Sequential process to choose efficient sampling design based on partial prior information data and simulations ArchiMer
Kermorvant, Claire; Coube, Sébastien; D’amico, Frank; Bru, Noëlle; Caill-milly, Nathalie.
Issues on sampling procedure definition led numerous study results to be biased and object of controversy. Choosing relevant sampling design and number of samples is a difficult task when wanted to set up or optimize a survey. The survey design choice is very important to avoid bias and increase the survey cost-efficiency. It can have a strong effect on the sample size needed to achieve some targeted accuracy on results. And on the final cost of the procedure. The sequential process we expose here melt design based and model based sampling theories. Its objectives is helping practitioners defining a sampling design and a number of samples for their survey when inference to the whole population is wanted. The main idea is to mathematically reconstruct the...
Tipo: Text Palavras-chave: Accuracy; Cost-effectiveness; Survey; Simulations; Survey optimization; Virtual ecology.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00619/73140/72306.pdf
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