Abstract
Abstract This paper simulates the sampling distributions of the rate parameter and the mean residence time (MRT) estimators for a specific two-compartment model. Two forms of measurement error, one additive and the other multiplicative, and two forms of weighting structures, one unweighted and the other weighted by the error variances, are investigated. The chief findings are: 1) unweighted estimates generally are highly biased but weighting reduces the bias many fold, 2) the asymptotic standard error approximations are acceptable only with weighted least squares, and 3) the mean squared errors of the MRT estimates compare favorably with those of the rate parameter estimates. Based on the favorable sampling distributions, it is recommended that weighted MRT estimates be calculated routinely as important descriptors of kinetic systems.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
