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New estimator boosts accuracy in surveys with missing data, enhancing decision-making.
The article introduces a new way to estimate the average of a population when some data is missing. By using a special mathematical function, the researchers found that their method is more accurate than other existing methods. They compared their estimator with others and found it to be more efficient in theory. They also tested their method on real data and confirmed its effectiveness.