Hostname: page-component-74656f9884-npj9w Total loading time: 0 Render date: 2026-11-10T09:45:06.242Z Has data issue: false hasContentIssue false
  • English
  • Français

A Posterior Region for Parallel Profile Differentials

Published online by Cambridge University Press:  01 January 2025

Seymour Geisser  and
Russell F. Kappenman
Seymour Geisser
Affiliation:
State University of New York at Buffalo
Russell F. Kappenman
Affiliation:
State University of New York at Buffalo
Get access Rights & Permissions [Opens in a new window]

Abstract

A simple Bayesian solution for the joint estimation of several parallel profile differentials for multivariate normal populations is obtained. This generalizes a previous result for a single profile differential.

Keywords

Public PolicyStatistical TheoryNormal PopulationPosterior RegionJoint Estimation

Information

Type
Original Paper
Information
Psychometrika , Volume 36 , Issue 1 , March 1971 , pp. 71 - 78
Copyright
Copyright © 1971 The Psychometric Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

Footnotes

*

This research was supported by NIGMS-NIH Grant GM14031.

†

Now at Pennsylvania State University.

References

Geisser, S. A Bayes approach for combining correlated estimates. Journal of the American Statistical Association, 1965, 60, 602–607CrossRefGoogle Scholar
Geisser, S., & Cornfield, J. Posterior distributions for multivariate normal parameters. Journal of the Royal Statistical Society B, 1963, 25, 368–376CrossRefGoogle Scholar
Greenhouse, S., & Geisser, S.. On methods in the analysis of profile data. Psychometrika, 1959, 24, 95–112CrossRefGoogle Scholar
Halperin, M. Almost linearly-optimum combination of unbiased estimates. Journal of the American Statistical Association, 1961, 56, 36–43CrossRefGoogle Scholar