Variance Stabilizing Transformations for Small Area Estimation

Music City Center 

Small area estimation is necessarily model-based. Much of the literature is based on normal mixed effects models. However, normality is often justified only after a suitable transformation. The present talk will focus on variance stabilizing transformations which achieve the dual objective of getting closer to normality as well as known sample variances.