Partially Specified Prior

Govindaraju K. and Jones G.
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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

Stochastics and Quality Control, 2008, vol. 23, issue 2, 281-286

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.

Date: 2008
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DOI: 10.1515/EQC.2008.281

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