New method maximizes likelihood for incomplete data, revolutionizing statistical analysis.
The article explores different types of distributions that come from exponential families when only some information is available. They show that a specific method can consistently and efficiently estimate parameters in these cases. The researchers also demonstrate that even in non-standard situations, it is possible to find reliable estimates. Additionally, they discuss how to conduct tests using these estimates in large samples.