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Partially Specified Prior

Author

Listed:
  • Govindaraju K.

    (Institute of Fundamental Sciences (IFS), Massey University, Palmerston North, New Zealand. K.Govindaraju@massey.ac.nz)

  • Jones G.

    (Institute of Fundamental Sciences (IFS), Massey University, Palmerston North, New Zealand)

Abstract

This note introduces the concept of a partially specified prior distribution for certain post hoc inference problems, where a finite population is sampled once in order to make a decision on the presence or complete absence of some attribute. If the decision is made to accept complete absence, a probability statement may be required that the population is indeed free of the attribute. A partially specified prior is shown to be advantageous in making such statements realistic and useful.

Suggested Citation

  • Govindaraju K. & Jones G., 2008. "Partially Specified Prior," Stochastics and Quality Control, De Gruyter, vol. 23(2), pages 281-286, January.
    • Handle: RePEc:bpj:ecqcon:v:23:y:2008:i:2:p:281-286:n:11
    DOI: 10.1515/EQC.2008.281
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