𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Estimating the parameters of the linear compartment model

✍ Scribed by Debasis Kundu; Amit Mitra


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
135 KB
Volume
70
Category
Article
ISSN
0378-3758

No coin nor oath required. For personal study only.

✦ Synopsis


In this paper we consider the linear compartment model and consider the estimation procedures of the di erent parameters. We discuss a method to obtain the initial estimators, which can be used for any iterative procedures to obtain the least-squares estimators. Four di erent types of conΓΏdence intervals have been discussed and they have been compared by computer simulations. We propose di erent methods to estimate the number of components of the linear compartment model. One data set has been used to see how the di erent methods work in practice.


πŸ“œ SIMILAR VOLUMES


Parameter estimation for the one compart
✍ I. McMillan; Ch.E. Minder πŸ“‚ Article πŸ“… 1981 πŸ› Elsevier Science 🌐 English βš– 420 KB

Methods of parameter estimation for nonlinear models have generally been based on appropriate least squares procedures. The authors have presented previously, for the one compartment open model, a marginal likelihood approach which obviates some of the difhcuhies encountered in the nonlinear least s

Estimating and Testing Linear Hypotheses
✍ Kullback, S. πŸ“‚ Article πŸ“… 1973 πŸ› Wiley (John Wiley & Sons) βš– 790 KB

It is a consequence of the minimum discrimination information theorem, that minimum discrimination information distributions are formulated as members of an exponential family (CAMPBELL, 1970; KULLBACK, 1959). For applications to the analysis of contingency tables i t is useful to express the expone