The One‐Compartment Open Model: Some Statistical Aspects of Parameter Estimation

B. E. Rodda, C. B. Sampson and D. W. Smith

Journal of the Royal Statistical Society Series C, 1975, vol. 24, issue 3, 309-318

Abstract: A new estimation procedure is proposed for estimating the parameters of the simplest pharmacokinetic model, the one‐compartment open model. This ordered simultaneous estimation procedure (OSEP) is less sensitive to outliers than classical least squares. General empirical information comparing the sample moments of the estimates derived by OSEP with those of least squares is also presented. In general, the OSEP technique performs better when the model is known, and outliers are known to exist. However, when it is desired to fit all the data, least squares is the better choice. The extension of the technique to other similar models is attractive, but the dependence of the OSEP estimates on the model and domain partition has not been investigated. OSEP can be used as an adjunct to least squares in the one‐compartment open model, and has the additional advantage of being more adaptable to small computers than most nonlinear least‐squares routines.

Date: 1975
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2307/2347092

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:24:y:1975:i:3:p:309-318

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9876

Access Statistics for this article

Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith

More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().