Classification and Estimation of Growth Curves, a Bayesian Approach,
AEROSPACE RESEARCH LABS WRIGHT-PATTERSON AFB OHIO
Pagination or Media Count:
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.
- Statistics and Probability