This paper describes an application of small area estimation (SAbl to agricultural business survey data. Both well known
small area estimators, such as the empirical best linear unbiased predictor (EBLUP), and more recently proposed small area
estimators, for example, tile M-quanlile, the robust EBLUP aml!he Model Ansed Direct estimators arc considered. Mean squared
error estimation is discussed. Using a real agricultural business survey dataset, we place emphasis on model diagnostics for
specifying the small area working model, on diagnostic measures for validating the reliability of direct and indirect (modelbased)
small area e.~timators i1nd on providing practical guidelines to the prospective user of small area estimation techniques.