Abstract: Weighting adjustment is a standard quasi-randomization approach for survey data subject to nonresponse (Little, 1986). The existing methods are typically based on the assumption that nonresponse is independent ...

Abstract: Standard approaches to sample surveys take as the point of departure the estimation of one or several population totals (or means), or a few predefined sub-totals (or sub-means). While the model-based prediction ...

Over the last two decades, cooperation rates in most sample surveys appear to have declined in many countries, including Norway. As a consequence, the cost of conducting surveys has increased because repeated attempts ...

Abstract Estimation of small area (or domain) compositions may suffer from informative missing data, if the probability of missing varies across the categories of interest as well as the small areas. We develop a double ...

Small area intervall estimation is considered for a finite population, where the small area parameters are treated as fixed constants. Design based direct estimation yealds intervals that are too long to be useful. Model ...

We apply two non-ignorable non-response models to the data of the Norwegian Labour Force Survey, the Fertility Survey and the Alveolar Bone Loss Survey. Both models focus on the marginal effect which the object variable ...

There is presented a model-based approach to variance estimation for both short-term fixed weights and long-term chained price indices. The individual price observations are treated as random variables whose probability ...

In this article we presents some results regarding the effect of post-stratification when analyzing binary survey data to nonresponse. Assuming that nonresponse depends on the variable of interest which is missing for ...

Abstract: Over-shrinkage is a common problem in small area (or domain) estimation. It happens when the estimated small-area parameters have less between-area variation than their true values. To deal with this problem, ...