The need for adequate sampling in a well-functioning market surveillance system

TL;DR

This paper emphasizes the importance of proper sampling sizes in market surveillance systems, analyzing binomial distribution methods to optimize costs and effectiveness.

Contribution

It introduces a detailed analysis of sample size calculation methods, focusing on binomial distribution, to improve market surveillance efficiency.

Findings

Sample size significantly impacts surveillance costs

Binomial distribution provides a practical method for sample size estimation

Optimal sampling balances detection accuracy and resource expenditure

Abstract

Adequate sampling is essential for the well-functioning of a market surveillance system. As small as possible statistically significant sample size is the main factor that determines the costs of market surveillance actions. This paper studies various possibilities for calculation of the size of the sample with an emphasis on the method based on the binomial distribution. Examples, comparisons, and conclusions are provided.