Accession Number:

ADA011594

Title:

Classification and Estimation of Growth Curves, a Bayesian Approach,

Descriptive Note:

Corporate Author:

AEROSPACE RESEARCH LABS WRIGHT-PATTERSON AFB OHIO

Personal Author(s):

Report Date:

1975-03-01

Pagination or Media Count:

28.0

Abstract:

Classification of observations and estimation of parameters in growth curves are considered from a Bayesian viewpoint. The author considers two different covariance matrices, 1 Sigma arbitrary positive definite and 2 Sigma XGammaX prime Z thetaZ prime, which was first considered by Rao, where X is p x m of rank m p and Z is p x p - m such that X primeZ 0.

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE