Rao

Rao refers to a statistical concept, named after statistician C.R. Rao, that measures the amount of information a data set provides about an unknown parameter. It helps determine how accurately we can estimate that parameter—the higher the Rao, the more precise the estimate. Rao is often expressed mathematically as the Fisher Information, reflecting how sensitive data are to changes in the parameter. This concept is fundamental in designing experiments, analyzing data, and ensuring our estimates are as reliable as possible, guiding decisions in fields like statistics, engineering, and scientific research.