• Modeling and estimation methods for household size in the presence of nonresponse : applied to the Norwegian consumer expenditure survey 

      Belsby, Liv; Bjørnstad, Jan F. (Discussion Papers;No. 206, Working paper, 1997)
      This paper considers the problem of estimating the number of private households of various sizes and the total number of households in Norway. The approach is model-based with a population model for household size given ...
    • Modeling binary panel data with nonresponse 

      Bjørnstad, Jan F.; Sommervoll, Dag Einar (Discussion Papers;No. 297, Working paper, 2001)
      Abstract: This paper studies modeling of nonignorable nonresponse in panel surveys. A class of sequential conditional logistic models for nonresponse is considered. Model-based maximum likelihood estimation and imputation ...
    • Non-Bayesian multiple imputation 

      Bjørnstad, Jan F. (Discussion Papers;No. 421, Working paper, 2005)
      Abstract: Multiple imputation is a method specifically designed for variance estimation in the presence of missing data. Rubin’s combination formula requires that the imputation method is “proper” which essentially means ...
    • Survey sampling : a necessary journey in the prediction world 

      Bjørnstad, Jan F. (Discussion Papers;608, Working paper, 2010)
      The design-approach is evaluated, using a likelihood approach to survey sampling. It is argued that a model-based approach is unavoidable from a scientific point of view. Estimating population quantities can then be regarded ...
    • Two-Stage sampling from a prediction point of view 

      Bjørnstad, Jan F.; Ytterstad, Elinor (Discussion Papers;No. 383, Working paper, 2004)
      Abstract: This paper considers the problem of estimating the population total in two-stage cluster sampling when cluster sizes are unknown, making use of a population model arising basically from a variance component ...