Mathematics
7 years ago

New estimators improve accuracy for population mean under incomplete data.

Journal of Statistics and Management Systems
Regression cum exponential estimators for finite population mean under incomplete information
R. R. Sinha, Vinod Kumar

Paper Summary

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The article introduces new estimators to better estimate the average of a population when some data is missing. These new estimators combine regression and exponential methods to improve accuracy. The researchers found that these new estimators are more efficient than existing ones, such as unbiased estimators and ratio estimators, when tested with real data. This means they provide more accurate estimates of population averages, even when some information is missing.