Muhammad Hamza

Machine Learning Methods in Small Area Estimation: A Critical Review of Methods and Applications

Small area estimation (SAE) is an important statistical tool applied to produce reliable domain‐level estimates when direct estimation of finite population quantities is not available or unreliable due to limited sample sizes within those domains. While traditional model‐based SAE approaches such as the Fay–Herriot...