The article explores ways to estimate the average of a group when some members don't respond to surveys. By using additional information from the population and the sample, the researchers developed new methods to make more accurate estimates. They also looked at different scenarios of non-response and compared the new methods. Through simulations with real populations, they found that these new methods can provide better estimates in situations where some data is missing.