• En introduksjon i statistiske metoder for offisiell statistikk 

      Bjørnstad, Jan F. (Notater / Documents;2016/23, Working paper, 2016-09)
      Dette kompendiet er utarbeidet for SSB-kurset KLAR 311 Introduksjonskurs i statistiske metoder. Det gir en innføring i:  Planlegging av utvalgsundersøkelser, både for person/husholdnings- og bedriftsundersøkelser  Basis ...
    • Likelihood and statistical evidence in survey sampling 

      Bjørnstad, Jan F. (Journal article; Peer reviewed, 2003)
      A comparison is made of the two concepts, generalized likelihood (from Bjørnstad, 1996) and Royall's measure of empirical statistical evidence in prediction problems, here called evidential likelihood, applied to ...
    • Modeling and estimation methods for household size in the presence of nonignorable nonresponse applied to the Norwegian consumer expenditure survey 

      Belsby, Liv; Bjørnstad, Jan F.; Zhang, Li-Chun (Journal article; Peer reviewed, 2005)
      This paper considers the problem of estimating, in the presence of considerable nonignorable nonresponse, the number of private households of various sizes and the total number of households in Norway. The approach is ...
    • 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 mulitple imputation 

      Bjørnstad, Jan F. (Journal article; Peer reviewed, 2007)
      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 that the ...
    • 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. (Chapter, 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 ...
    • 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 ...