The multivariate MISER criterion for balancing multiple-outcome experiments

S. James Press

Expert InsightsPublished 1986

In earlier research (see P-7066), the author proposed the MISER criterion for balancing experiments which will be analyzed using the analysis of covariance. He suggested that a design should be selected by minimizing (over all designs) the amount by which the standard error of a contrast is inflated by the fact that the covariate mean vectors differ from cell to cell. In this paper, he examines the multivariate case of (correlated) multiple response outputs which will be analyzed by the multivariate analysis of covariance. He shows that under certain reasonable assumptions, the multivariate result is identical to that in the univariate case, so that the MISER criterion approach to balancing applies to single or multiple responses.

Document Details

  • Copyright: RAND Corporation
  • Availability: Web Only
  • Year: 1986
  • Pages: 6
  • Document Number: P-7279

Citation

Chicago Manual of Style

Press, S. James, The multivariate MISER criterion for balancing multiple-outcome experiments. Santa Monica, CA: RAND Corporation, 1986. https://www.rand.org/pubs/papers/P7279.html.
BibTeX RIS

This publication is part of the RAND paper series. The paper series was a product of RAND from 1948 to 2003 that captured speeches, memorials, and derivative research, usually prepared on authors' own time and meant to be the scholarly or scientific contribution of individual authors to their professional fields. Papers were less formal than reports and did not require rigorous peer review.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.