Accession Number : AD0758980

Title :   Bayes, Hilbert, and Least Squares,

Corporate Author : MISSOURI UNIV COLUMBIA

Personal Author(s) : Thompson,W. A. , Jr

Report Date : 1972

Pagination or Media Count : 7

Abstract : Stein (1950) and Rao (1965) show that much of the theory of least squares can be extended to abstract spaces. Lindley (1965, 1972) observes that the usual F test procedures can be derived from the Bayesian point of view by assuming vague prior knowledge of the parameters. These two ideas are discussed so as to be better known by statisticians interested in the general linear hypothesis.

Descriptors :   (*STATISTICAL ANALYSIS, THEOREMS), LEAST SQUARES METHOD, HILBERT SPACE, ANALYSIS OF VARIANCE

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE