Accession Number:

AD0679928

Title:

THE VALUE OF PRIOR INFORMATION.

Descriptive Note:

Technical summary rept.,

Corporate Author:

WISCONSIN UNIV MADISON MATHEMATICS RESEARCH CENTER

Personal Author(s):

Report Date:

1968-01-01

Pagination or Media Count:

33.0

Abstract:

A natural question that arises in Bayesian statistics, is how inference might be affected by a change in the prior distribution, i.e., by the availability of more or less information on the parameters of the assumed model. A criterion for evaluating this is suggested and used to compare the value of prior information, when sampling is from the normal, negative binomial, poisson and exponential distributions. Author

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE