Abstract Health insurance is important in disease management, access to quality health care and attaining Universal Care. National regional data on coverage needed for policy making mostly obtained from household surveys; however, estimates at lower administrative units like the county level Kenya are highly variable due small sample sizes. Small area estimation combines survey census using a m...

Small area estimation (SAE) plays an important role in survey sampling due to growing demands for reliable small area statistics from both public and private sectors. This paper reviews some of the current techniques of small area estimation combined with spatial models available in the literature. Illustrative examples or applications are likewise presented in the context of official statistic...

1 SUMMARY In small area estimation one uses data from similar domains to estimate the mean in a particular small area. This borrowing of strength is justified by assuming a model which relates the small area means. Here we suggest a noninformative or objective Bayesian approach to small area estimation. Using this approach one can estimate population parameters other than means and find sensibl...

Extended Abstract. Small area estimation has received a lot of attention in recent years due to necessity demand for reliable small area statistics. Direct estimator may not provide adequate precision, because sample size in small areas is seldom large enough. Hence, by employing models that can use auxiliary information and area effects in descriptions, one can increase the precision of direct...

background: mental disorders may lead to several complications in adolescents’ people whose compensation is very difficult and sometime impossible. they are prone to emotional problems. therefore, knowing prevalence of diseases and valid statistical technique is necessary to plan for prevention and control of diseases. methods: in this cross-sectional study; direct, synthetic, and post-stratifi...