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A special semiparametric model

  • Johann Pfanzagl
Part of the Lecture Notes in Statistics book series (LNS, volume 63)

Abstract

In this section we study models of the type described in Section 4 under the following additional assumption: There exists a function S: X × Θ → (Y, B) such that, for every ϑ ∈ Θ, the function S(⋅, ϑ) is sufficient for the family {Pϑ,τ: τ ∈ T}.

Keywords

Mixture Model Conditional Expectation Kernel Estimator Orthogonal Component Improvement Procedure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • Johann Pfanzagl
    • 1
  1. 1.Mathematisches InstitutUniversität zu KölnKöln 41Federal Republic of Germany

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