Estimating the parameters of the linear compartment model
β Scribed by Debasis Kundu; Amit Mitra
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 135 KB
- Volume
- 70
- Category
- Article
- ISSN
- 0378-3758
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β¦ 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.
π SIMILAR VOLUMES
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
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