Small area estimation under an inverse Gaussian model - ARCHIVED

In this paper, we consider analysis of variance methodology for inverse Gaussian distribution and adapt it for estimation of small area parameters in finite populations. It is demonstrated, through a Monte Carlo study, that these estimators offer a competitive choice for positively skewed survey data such as income or yield of a particular sector.